Data Scientist (Job ID : 09168)
- Internship
- Senior
- Hyderabad(Remote)
Job Profile: Data Scientist
Location: Hyderabad
Job Type: Internship
Seniority Level : Senior
Skills :
Data Analytics, Data Science, Python
Salary Range (Maximum) : 15,000/-
Unit : Per month
Department : Strategy / Planning
Recruiter : Primetrade
Selected intern’s day-to-day responsibilities include:
1. Developing Python programs for web scraping, data collection, and preprocessing from diverse web sources.
2. Assisting in designing and implementing trading algorithms using APIs such as Binance.
3. Conducting data analysis to identify trading patterns and trends from blockchain platforms.
4. Collaborating on creating algorithms for trading, integrating machine learning and statistical models.
5. Automating data collection, processing, and trading operations.
6. Extracting and analyzing blockchain data to monitor trader behavior and performance.
7. Generating insightful reports and visualizations on performance metrics.
Skill(s) required:
Data Analytics
Data Science
Python
Who can apply:
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 20th Nov’24 and 25th Dec’24
3. are available for duration of 6 months
4. have relevant skills and interests
* Women wanting to start/restart their career can also apply.
Perks:
Certificate
Letter of recommendation
Number of openings
2
About Primetrade.ai
Primetrade.ai is a niche AI and blockchain venture studio, where we help multiple product startups grow in cutting-edge fields of AI and blockchain.
NOTE: apply and you will be shared task that need to be completed to get shortlisted. Share your task answers, along with your resumes and github link to sonika@primetrade.ai within 2days (first come first serve)
Next step of the shortlisting is to do an assignment, please note that after doing the assignment send it to sonika@primetrade.ai
First come first serve, so please do the task before 25th
Task Description:
Dataset Information: You’ll analyze historical trade data from various Binance accounts over 90 days, containing:
Port_IDs: Unique identifiers for accounts.
Trade_History: Historical trades with details like timestamp, asset, side (BUY/SELL), price, and more.
Objective: Analyze the dataset to calculate financial metrics for each account, rank them, and provide a top 20 list.
Metrics to Calculate:
ROI (Return on Investment)
PnL (Profit and Loss)
Sharpe Ratio
MDD (Maximum Drawdown)
Win Rate
Win Positions
Total Positions
Steps to Complete the Task:
Data Exploration and Cleaning:
Load and inspect the dataset, handle missing values.
Feature Engineering:
Determine feature importance and create a scoring system with weighted scores.
Ranking Algorithm:
Develop an algorithm to rank accounts based on calculated metrics.
Documentation:
Provide a concise report on methodology, findings, and assumptions.
Deliverables:
Jupyter Notebook or Python script with complete analysis and code.
CSV file containing calculated metrics.
List of top 20 accounts based on ranking.
Report detailing approach and findings.
Additional Information:
Win Positions: Number of profitable positions.
Position Identification:
Combine side and positionSide to classify trades (e.g., long_open, long_close).
quantity indicates money in the trade, qty indicates coin amount.
realizedProfit indicates profit or loss (depending on sign).
This task demands comprehensive data analysis to derive insights and rank accounts based on performance.
Data set :
https://drive.google.com/drive/folders/1ioZ56B5-zTmFuPrT7IihjOVozAgrXxhl?usp=sharing
Workplace Type:
Remote
Employment Type :
Internhsip
Work Experience:
Senior
Skills :
Data science
Python development