Vikas Kumar
Delhi
Summary
Vikas Kumar | Data Analysis | Client Interaction | Python | SQL |Valuation | Time Series - Analysis | Historical Backtesting | Pandas | File Operations using Python | Systemic Thinking | Go-to-Person in the Team | Database Management | Passed CFA Level 1 in June 2017 |
Overview
5
5
years of professional experience
1
1
Certification
Work History
Senior Data Analyst
UpTodd
Noida, Delhi NCR
02.2021 - Current
- Conducted ongoing Market Research and Competitive Analysis to possess in-depth knowledge of Markets, Procedures and Customers.
- Managed the development and launch of a Physical Toy Line focused on Sensory Development for children aged 0-3 years
- Proficient in analyzing and interpreting Complex Datasets using Statistical Techniques and Machine Learning algorithms.
- Developed Predictive Models to identify Early Indicators of Developmental Delays and provided Customized Interventions.
- Collaborated with Cross-Functional Teams to design and implement Data Collection Strategies and Experiments.
- Applied Natural Language Processing techniques to Analyze and Summarize educational materials and resources for parenting kids
Data Analyst- Fixed Income Research
JP Morgan Chase & Co.
Mumbai
12.2018 - 02.2021
- Closely worked with JP Morgan’s Trading Desk, Quant Developers and Algo Traders for loading the Pricing & Volume data across Fixed Income Indices belonging to Corporate, Local Currency, Government and Munics Universe to ensured analytics are running on a real-time basis
- Diversification of different tasks to Support Teams across Mumbai, Delaware and New York and looked after aspects such as Process Diagrams,Flow Chart Creation, Data Architecture Pipeline, Research Files and Regulation Framework and conceptualized algorithms & sampling criteria
- Worked with Regulation Team, Management Team for quality testing of all the process flows, standardization of research reports, DTAA Agreements and engaged on product side with parent team across London and New York for delivering end to end process designs
- Delivered Index Files, Analytics and other research reports pertaining to JACI Index and resolving client-side queries on day-to-day basis
- Generated Default Reports across Themes, Sector of Issuance, Regional Aggregates, Currency Aggregates and Country Aggregates using Python to streamline client file operations and Database Management and performed Credit Rating Sensitivity Analysis during Covid Pandemics
- Generated 10 Years (2012-21) universe covering NIFTY Constituents and Index Values (closing price) using Python Library and performed analytics on 3 Min Candles to gather information regarding trading opportunities (historically)
- Written Algorithms for Options Trading using Python relating to 60 Points Movement Capture of the Index and defined entry-exit conditions for the Trade, Quantity Rationing, Profit & Loss Matrix and generated monthly profits worth 2.5 Lakhs with the winning/losing ratio of 8:5
- Recently combined ChatGPT functionality to gaining market sentiments & integrated it within Python for execution relating to entry conditions
Product Development
The Money Club
Noida, Delhi NCR
06.2018 - 12.2018
- Developed ‘Socio- Economic Rating Model’ and automating a rating driven peer combinations to reduce operational gap
- Working on growth strategies to increase the flow of Customer Acquisition Funnel & balancing quality and the growth of company
- Developed an algorithm using 19 variables which predicts Money Clubbing Limit that reduced default rate to 0.3%
Education
B.Tech & M.Tech Dual Degree Course- 5 Years - Mining Engineering
IIT Kharagpur
Kharagpur, West Bengal05.2018
Micro Specialisation in Entrepreneurship Engineering - Entrepreneurship
IIT Kharagpur
Kharagpur05.2018
Skills
- Python
- SQL
- Excel Modeling
- Statistics
- VBA
- Data Summaries
Certification
- Passed CFA Level 1 in June 2017
Timeline
Senior Data Analyst
UpTodd
02.2021 - Current
Data Analyst- Fixed Income Research
JP Morgan Chase & Co.
12.2018 - 02.2021
Product Development
The Money Club
06.2018 - 12.2018
B.Tech & M.Tech Dual Degree Course- 5 Years - Mining Engineering
IIT Kharagpur
Micro Specialisation in Entrepreneurship Engineering - Entrepreneurship
IIT Kharagpur
Projects
Recommendation Systems: Movie Predictor using NLTK and Vectorization
- Created a database of 5000 movies using TMDB Dataset (kaggle) and written a python script that recommends (ranked) 5 Similar Movies based on user input.
- Text Similarity using Vectorization that finds out Similarity Score of Tags using Cosine Similarity (Distance) which in turn predicts closest 5 Substitutes
- Used Streamlit Library in PyCharm to deploy the Movie Recommender System on Local Host where user can interact and get recommendations along with other details(Posters etc.) about movies
Bangalore House Price Prediction Model Using Data Science and Machine Learning
- Performed Data Cleaning operations using Pandas and Numpy Libraries and applied Linear Regression, Lasso and Ridge Models to check the differences in their Prediction Levels
- Achieved an accuracy level of 82% using Linear Regression and displayed the Total Price of Property based on user choice of No .of BHKs, Locality, No of Bathrooms and Carpet Area
Affiliations
- Secretary, Entertainment, RP Hall, IIT Kharagpur
- Fest Coordinator, Great Step, Mining Engineering Dept Fest
- Member, Society of Petroleum Engineering
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