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Data Science with 1+ years in Data Science and Algorithmic Trading
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Assessing your cultural and operational fit
Analyst with a Master's in Applied Statistics and hands-on experience in algorithmic trading, predictive modeling, and financial data analysis. Developed trading strategies and risk models using R and Python, with practical exposure to global energy and financial markets. Proven ability to deliver actionable insights in fast-paced, data-driven environments, including GIFT City. Strong foundation in machine learning, valuation, and statistical methods to support investment decisions.
World Quant University
M.Sc · Financial Engineering
August 1, 2024 – Present
Sardar Patel University
M.Sc · Applied Statistics
August 1, 2021 – June 30, 2023
H. L. College of Commerce
B.Com · Statistics
August 1, 2018 – June 30, 2021
JA Square Energy
Analyst
August 1, 2024 – Present
Ahmedabad, Gujarat, India
Upwork
Algorithmic Trading Coach in R
May 1, 2024 – July 1, 2024
India
Uniquesdata
Data Operations Specialist
July 1, 2023 – May 1, 2024
India
Pen & Stats
Data Visualization Analyst & Research Intern
October 1, 2021 – June 1, 2022
India
Analysis of Women, Business & the Law (WBL) Index
June 1, 2026 – Present
Analyzed the impact of legal changes on women's economic opportunities and investment landscapes, leading to strategic insights published in Pen & Stats.
Equity Research on Personalized Portfolio Optimization
June 1, 2026 – Present
Developed an equity research model focusing on optimizing investment portfolios based on personalized financial goals, incorporating time series analysis and predictive modeling.
Market Analysis During COVID-19
June 1, 2026 – Present
Led a research team to study the growth patterns of OTT platforms during the pandemic, providing insights into consumer behavior and potential investment opportunities.
Learning Data Analytics
June 1, 2026 – Present
Google Data Analytics Professional Certificate Course
Coursera
June 1, 2026 – Present
CCC - Course On Computer Concept
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background and project work show a strong interest in quantitative analysis and problem-solving, which aligns well with a data-driven culture. Their experience across financial, energy, and research domains indicates adaptability and a broad perspective. The ongoing Master's in Financial Engineering suggests a commitment to continuous learning and professional development. The freelance coaching role also highlights an ability to work independently and deliver results.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical skills, evidenced by their academic projects and professional roles. Their experience as an 'Algorithmic Trading Coach' suggests good communication skills for explaining complex technical concepts. The project diversity indicates an ability to adapt to different data challenges and research areas. However, the resume does not provide explicit details on teamwork or leadership in a corporate setting beyond coaching, which could be further explored.