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Co-Founder & Lead Engineer @ Finominal
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Finominal
Data Scientist
June 19, 2026 – Present
Hotel-Chatbot-using-RASA
June 11, 2020 – July 2, 2020
Hotel-Chatbot-using-RASA — GitHub repository
View ProjectStock-Prediction-using-Markov-Chains-
January 5, 2020 – January 5, 2020
Stock-Prediction-using-Markov-Chains- — GitHub repository
View ProjectOption-Pricing-and-Strategies
January 5, 2020 – January 5, 2020
Developed a Python program that calculates the price of both calls and put options using methods like Monte Carlo Simulation, Black Scholes Model, Cox-Ross-Rubinstein and Jarrow-Rudd. Strategies like Butterfly spread and Iron condor was also implemented.
View ProjectModern-Portfolio-Theory
November 22, 2019 – January 7, 2020
Analyzed the top stocks of Warren Buffet's portfolio using the Markowitz model. The model has performed well, resulting in the Sharpe ratio of 1.14 and the Expected return of 27%. The optimal portfolio was on the Efficient Frontier line
View ProjectNIFTY50-Prediction-Models
June 21, 2019 – June 21, 2019
My work tries to predict the price movements of NIFTY50 index values using mathematical time series models and other machine learning models using Python.
View ProjectPAIR-TRADING-USING-STATISTICS-
February 21, 2019 – February 21, 2019
Used Supervised Machine Learning algorithms and Statistics in Pair Trading using Python to automate this trading strategy in the Indian market.
View ProjectData-Science-Projects
September 29, 2018 – December 11, 2018
Involved in various data modelling and data extraction process.
View ProjectCultural Fit Analysis
The candidate's projects are primarily focused on quantitative finance and data science, aligning well with a Data Scientist role. However, the projects are all personal, and there is only one listed professional experience, which is current. This limits the ability to assess broader cultural fit, team collaboration, or experience in diverse work environments. The listed experience level of 0 is inconsistent with a current Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, but they have a current role as a Data Scientist, which creates a discrepancy. Project descriptions are brief, limiting insight into collaboration or problem-solving approaches.