Data Science Internship with Real Project Work

🚀 Data Science Internship with Real Project Work

🏆 Real-World Projects You’ll Work On

You will work on 2-3 real-world projects during the internship to build your portfolio.

📈 1. Sales Forecasting Model
Use historical sales data to predict future sales trends
Build a machine learning model to improve inventory management
🌍 2. Customer Churn Prediction
Analyze customer behavior and identify key factors leading to churn
Build and deploy a predictive model to reduce customer loss
🏥 3. Healthcare Data Analysis
Analyze patient data to predict disease outcomes
Use data visualization to provide actionable insights

💡 Languages and Frameworks Covered

✔️ Programming Languages: Python, SQL
✔️ Machine Learning Frameworks: TensorFlow, Keras, Scikit-Learn, PyTorch
✔️ Data Analysis Libraries: Pandas, NumPy
✔️ Data Visualization Tools: Matplotlib, Seaborn, Plotly
✔️ Version Control: Git, GitHub

👉 Limited Seats Available – Enroll Now!
Duration : 02 Months (Online)
Note: You can also select a custom duration (e.g. 1,3,4,5,6 month’s) as per your requirements .
Starting From: Mar 19th ,2025 (Wednesday)
Last Date to Apply: Mar 18th ,2025 till 11:59PM
Registration Form
Fill up the Below form to get registered in the program
*Kindly fill your complete name which you want to display on your certificate.
*This option gives your the leverage to postpone the program to a future date, leaving it blank will apply default schedule.
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Company Overview:

🌟 This internship is offered by Solar Secure Solutions — a Bangalore-based startup specializing in IT services and consulting in the fields of Data Science and Artificial Intelligence. Gain industry-level experience under the guidance of experienced professionals from a trusted firm!

👉 You can also apply directly from the company’s career page here: Click Here to Apply

About the Role:

We are excited to offer an opportunity for a Data Science Intern to join our dynamic team. This internship will provide hands-on experience working on real-world data challenges, helping you build the skills and knowledge needed to thrive in the data science field. You will work closely with our experienced data scientists and engineers on impactful projects that influence business strategies.

Projects details In which Intern’s Will Work :

📈 1. Sales Forecasting Model
Use historical sales data to predict future sales trends
Build a machine learning model to improve inventory management
🌍 2. Customer Churn Prediction
Analyze customer behavior and identify key factors leading to churn
Build and deploy a predictive model to reduce customer loss
🏥 3. Healthcare Data Analysis
Analyze patient data to predict disease outcomes
Use data visualization to provide actionable insights

Key Responsibilities:

  • During the internship, you’ll be working as a Data Science Intern and will be responsible for:

    ✅ Collecting, cleaning, and processing data from various sources
    ✅ Building predictive models and machine learning algorithms
    ✅ Performing exploratory data analysis (EDA) to uncover insights
    ✅ Visualizing data and creating detailed reports for stakeholders
    ✅ Working closely with mentors and senior data scientists
    ✅ Deploying machine learning models into production
    ✅ Monitoring and improving the performance of deployed models

🌟 Skills You Will Learn and Implement

By the end of the internship, you’ll have mastered:

🧠 Programming & Tools:
Python
SQL
Jupyter Notebooks
Git and GitHub
📊 Data Analysis & Visualization:
Pandas
NumPy
Matplotlib
Seaborn
Plotly

🤖 Machine Learning & AI:
Scikit-Learn
TensorFlow
Keras
PyTorch
🔎 Data Processing & Manipulation:
Data Cleaning
Feature Engineering
Data Transformation
🏆 Other Skills:
Problem-solving
Statistical Analysis
Model Evaluation and Optimization
Communication and Reporting

🌍 Who Can Apply?

👉 Students and freshers looking to build a career in Data Science
👉 Working professionals looking to switch to Data Science
👉 Anyone with a passion for data and analytics
👉 Basic programming knowledge is recommended but not mandatory

Get Industry level Certification :

Testimonials:

150+ Success Stories

What Our Placed Interns Say…

4.5/5
EXCELLENT
Based on 175 reviews
Arjun Mehta
Arjun Mehta
Placed at TCS
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"Letsintern gave me a chance to apply what I learned in school to real-world data science challenges. I gained experience in SQL, Python, and machine learning, and the mentorship I received was priceless. I feel much more prepared for my next steps in data science!"
Ravi Kumar
Ravi Kumar
Placed at Accenture
Read More
"This internship through Letsintern helped me build a solid foundation in data science. I worked on practical projects that involved data analysis and predictive modeling. The flexibility of remote work allowed me to learn at my own pace while still receiving great guidance from the team."
Vikash kumar
Vikash kumar
Placed at Wipro
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"I had an amazing time with Letsintern’s Data Science internship program. From working on real business problems to using advanced tools like Tableau and Scikit-learn, this internship was an incredible experience. It made me more confident about my skills and ready to pursue a career in the field."
Aditi Sharma
Aditi Sharma
Placed at Infosys
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"I joined Letsintern for a Data Science internship, and I’m so glad I did! The projects were hands-on and helped me develop my skills in machine learning, data visualization, and working with real datasets. I highly recommend this internship to anyone looking to break into data science."
Priya Kapoor
Priya Kapoor
Placed at HCL Technologies
Read More
"The Letsintern Data Science internship provided an excellent blend of learning and application. I worked on interesting machine learning projects, learned data cleaning techniques, and got real feedback from mentors. This experience was instrumental in preparing me for a career in data science!"
Sneha Joshi
Sneha Joshi
Placed at Cognizant
Read More
"This internship through Letsintern was a great learning opportunity. I worked on real-world data science problems, enhancing my skills in data preprocessing, machine learning, and visualization. The flexible remote work setup allowed me to manage my time effectively while gaining valuable hands-on experience. Highly recommend it!"
Rahul Nair
Rahul Nair
Placed at Deloitte
Read More
"Thanks to Letsintern, I had the chance to dive deep into machine learning and SQL. The guidance from my mentors was invaluable, and the hands-on projects helped solidify my skills. I now feel much more confident pursuing data science as a career."
Simran Khanna
Simran Khanna
Placed at IBM
Read More
"I completed this internship through Letsintern, and it exceeded my expectations! I worked on building models and performing data analysis, and the remote structure allowed me to balance work with my studies. The team was very supportive, and I learned so much about applying data science techniques to real problems."
Aditya Desai
Aditya Desai
Placed at Capgemini
Read More
"Joining the Letsintern Data Science internship gave me the chance to work on impactful projects. The experience of building models and presenting findings gave me confidence in my skills. I’m grateful for the opportunity to learn from such a talented team."
Siddharth Rao
Siddharth Rao
Placed at Tata Consultancy Services
Read More
"This internship was an amazing experience that sharpened my technical and communication skills. I worked on data cleaning, machine learning, and creating visualizations. Letsintern provided excellent mentorship, and I gained hands-on experience that will be crucial for my future career in data science."
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Kritika Nair
Kritika Nair
Placed at Samsung
Read More
"I had the opportunity to work on real-world data science challenges during my internship at Letsintern. From data preprocessing to building machine learning models, the experience was both enriching and rewarding. The remote setup allowed me to manage my time efficiently while still learning at a fast pace."
Vivek Agarwal
Vivek Agarwal
Placed at Deloitte
Read More
"Letsintern provided me with hands-on experience working on data science projects that ranged from predictive modeling to data visualization. The mentors were supportive, and I learned a lot about how to tackle real-world problems with data."
Riya Malhotra
Riya Malhotra
Placed at Genpact
Read More
"This internship through Letsintern gave me practical exposure to machine learning, SQL, and data visualization. The flexibility of remote work was perfect for me, and I appreciated how the team was always available for guidance and feedback. A fantastic experience overall!"
Sahil Mehta
Sahil Mehta
Placed at Cisco
Read More
"I gained invaluable experience working with data during my internship with Letsintern. The internship allowed me to apply my knowledge of Python and machine learning techniques to real-world datasets. The remote nature of the program made it possible to work from anywhere while still being engaged with the team."
Ankita Sethi
Ankita Sethi
Placed at Infosys
Read More
"Through Letsintern, I had the chance to work on projects that helped me sharpen my skills in data wrangling and machine learning. The opportunity to collaborate remotely with a supportive team made this internship an amazing experience that I will carry forward into my career."
Rohit Chawla
Rohit Chawla
Placed at Flipkart
Read More
"The Letsintern Data Science internship allowed me to apply machine learning algorithms and statistical analysis to solve real-world problems. I gained a deeper understanding of data science tools and techniques, and the remote structure was very convenient for balancing work and school."
Simran Kapoor
Simran Kapoor
Placed at Accenture
Read More
"I had an amazing experience with Letsintern, where I worked on diverse data science projects involving regression models, data cleaning, and visualizations. The mentorship provided me with clear insights into best practices and helped me enhance my problem-solving abilities."
Nitin Jain
Nitin Jain
Placed at IBM
Read More
"Letsintern gave me a chance to grow both technically and professionally. The experience I gained with machine learning, data analysis, and collaborating remotely with a team was extremely valuable. It was great to work on projects that allowed me to directly apply what I was learning."
Kavya Sharma
Kavya Sharma
Placed at Amazon
Read More
"This internship allowed me to explore the real applications of data science, from working with large datasets to creating predictive models. Letsintern's remote format made it possible for me to develop my technical skills while balancing my other commitments."
Deepak Yadav
Deepak Yadav
Placed at TCS
Read More
"I had a wonderful experience interning with Letsintern. I was able to apply my knowledge of Python and machine learning in a practical setting, while learning new skills like data visualization and SQL. The team’s support and constructive feedback helped me grow as a data scientist."
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Duration : 02-06 Months

Note: You can also select a custom duration (e.g. 1,3,4,5,6 month’s) as per your requirements .

INTERNSHIP START DATE :

Mar 19th ,2025 (Monday)

LAST DATE TO APPLY :

Mar 18th ,2025 Till 11.59 PM

REGISTRATION FORM
Kindly fill up the Registration form here
*Kindly fill your complete name which you want to display on your certificate.
*This option gives your the leverage to postpone the program to a future date, leaving it blank will apply default schedule.

FAQ's

Internship Specific

Data science is the extensive study of data using programming skills, expertise in the domain, mathematics, and statistics to extract insights that can be used in business. It helps to extract knowledge from unstructured data to find meaningful and relevant information that is required. In today’s world, companies have started implementing data science techniques that will help expand their business and elevate their customer’s satisfaction.

Data science is a practical field and to attain knowledge you can sign up for an online data science course which will help you learn all the basics of this field with proper training videos, module tests, and quizzes in a comprehensive manner. With the help of a certified course, you will get more hands-on experience and get to work on live projects which will increase your chances of getting hired as a fresher. Additionally, this field stems from multiple disciplines of mathematics, computer science, and statistics so you can start reading books to acquire knowledge in these subjects.

Its important to know statistics, linear algebra, programming, data wrangling, data visualization, machine learning, and cloud computing when it comes to becoming a data scientist. You should also have the motivation to solve complex problems every day as this is going to be the baseline of your career as a data scientist.

As a data scientist, depending on your company’s needs and requirements, your roles and responsibilities can be as follows:

  1. Work on creating solutions to various business problems
  2. Actively collect and analyze huge amounts of data every day
  3. Develop the correct data strategy
  4. Stay up-to-date with the latest news on data science and technology
Timings

The working hours are flexible in the internship . you have to work in your Own time . Minimum 2 hours are mandatory (Mon-Fri) .
You will be working in our Internship task portal with login id and password protection.

Placement Assistance

You will receive free access to Placement Preparation Training on the platform which covers resume writing, cover letter writing, how to search and apply for internships and jobs on our tie-companies, and interview preparation. This training comes with a lifetime access meaning you can use it later also if you are not applying for internships or jobs right now.
Access to curated internships & jobs related to the Internship – after completing the Internship, you would receive a list of handpicked internships or jobs every week that you can apply to as per your preference.
If you are a top performer, a badge of achievement will be added to your resume and shown to the employers when you apply to internships or jobs on our company.

Registration Related

Simply, fill up the Registration form above with your details and submit.

Need Further Assistance?

For any quires related to Internship , WhatsApp or Call us here +91-6394784391

Read Before you apply

Note: To ensure candidate seriousness and filter the right candidates among hundreds of daily inwards applicants and maintaining quality throughout the session, We have decided to charge a one-time registration Fee of 999/- INR. (which includes your Certification, Documentation, Specific projects tasks related to briefing and training by the Instructor/firm.)

About Stipend: Stipend will be given on the basis of the Project/Performance based tasks done by the candidate which varies from min 12,000/- to maximum 18,000/-INR or more.

Process: You will receive an acknowledgement mail containing your Internship Offer letter by the end of the day after your successful registration with one time internship registration fee payment. Then you will receive your next mail just one day before your internship day, which would contain the link of your Task portal, its Credentials and some important instructions with Deadlines. In case of any assistance contact us at hr@letsintern.in or call us at +91-6394784391

🥇 Benefits of the Internship

✔️ Gain hands-on experience with real industry projects
✔️ Learn from expert data scientists and mentors
✔️ Build a strong portfolio to showcase your skills to employers
✔️ MSME-approved Certification of completion of the internship
✔️ Professional internship certificate to enhance your resume
✔️ Letter of Recommendation from industry experts upon successful completion
✔️ LinkedIn Recommendation to boost your professional profile
✔️ Improve problem-solving and analytical thinking skills
✔️ Get career guidance and support after completion

Some Top recruiters:

Meet our Ex-Interns

Srinivas Reddy – IT Consultant at Infosys  

Shivani Patel – Data Analyst at Cognizant

Gokul Kumar – Software Developer at Zoho Corporation

Rashmi Gupta – Front-End Developer at IBM India

Venkatesh Rao – DevOps Engineer at Mindtree

Shruti Singh – Business Analyst at Tata Consultancy Services

Jai Prakash – Cloud Engineer at SAP Labs

Rajesh Kumar – Data Engineer at Cisco Systems

Anita Reddy – Front-End Developer at Dell Technologies

Harish Verma – Cloud Solutions Architect at Google India

Tanvi Mehta – QA Engineer at HCL Technologies

Surya Narayanan – Full Stack Developer at Oracle India

Neelam Yadav – IT Consultant at Accenture India

Manoj Kumar – Mobile App Developer at Swiggy

Ishita Bansal – Product Manager at HP India

Krishna Prasad – Backend Developer at Flipkart

Vidhi Sharma – Data Scientist at Amazon India

Vijayalakshmi Rajan – Software Engineer at Qualcomm 

Vikram Reddy – Software Engineer at TCS 

Sanya Kapoor – Data Scientist at Infosys

Karthik Iyer – Full Stack Developer at Wipro

Meera Nair – Cloud Engineer at Accenture 

Amit Sharma – Front-End Developer at Cognizant 

Anjali Menon – UX/UI Designer at HCL Technologies 

Sandeep Verma – Product Manager at Tech Mahindra 

Nithya Pillai – DevOps Engineer at IBM India

Raghav Gupta – AI Engineer at Capgemini 

Divya Suresh – Backend Developer at Zensar Technologies 

Vijay Kumar – Security Analyst at L&T Infotech 

Priyanka Joshi – Mobile App Developer at Paytm 

Hari Prasad – Data Engineer at Mindtree 

Ritu Singh – System Administrator at Persistent Systems 

Ajay Nair – QA Engineer at Hexaware Technologies 

Lakshmi Sharma – Business Analyst at Deloitte India

Rohit Reddy – Web Developer at Birlasoft 

Anita Bansal – Cloud Solutions Architect at Amazon Web Services

Karthik Kumar – IT Consultant at Wipro 

Pooja Verma – Software Architect at Zoho Corporation

Suresh Babu – Software Engineer at Mindtree 

Neha Rai – Data Scientist at IBM India 

Arvind Krishnan – Full Stack Developer at Cognizant

Next Could be You..

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