Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist with 4+ years in Political Consulting and Financial Technology
Strategic and data-driven professional with experience across political consulting and financial technology, specializing in campaign execution, stakeholder engagement, and payment operations. Proven ability to bridge central strategy with ground-level implementation through socio-political research, political intelligence, and coordinated field execution. Experienced in high-volume payment ecosystems, managing end-to-end transaction monitoring, reconciliation, and regulatory-compliant operations across banking and crypto-fintech environments. Strong background in process optimization, issue resolution, dashboarding, and cross-functional collaboration. Adept at translating complex data, field insights, and operational signals into actionable strategies that drive impact, efficiency, and results.
IMT Ghaziabad
Post Graduate Diploma in Management
August 1, 2024 – June 30, 2027
ITM University Gwalior
Bachelor of Technology · Computer Science Engineering
August 1, 2015 – June 30, 2019
Indian Political Action Committee (I-PAC)
Strategy Consultant
November 1, 2025 – Present
India
RockWallet
Payments Analyst
April 1, 2025 – October 1, 2025
Canada
AU Small Finance Bank
Technical Analyst
January 1, 2022 – January 1, 2025
India
Investment Analysis & Portfolio Management
June 6, 2026 – Present
Estimated Expected Returns using Asset Pricing Models including the Capital Asset Pricing Model 1 (CAPM). Understood and Measured Risk and Relationships by estimating the total risk of a stock, the market risk of a stock, and quantifying the relationships between securities. Measured Portfolio Risk & Return.
Stock Analysis
June 6, 2026 – Present
Collected historical stock data from reliable sources such as Yahoo Finance and NSE Data. Cleaned the collected data to remove any missing values or outliers that can affect the analysis using Python libraries such as pandas, NumPy. Explored the data using visualizations such as line plots, scatter plots, and histograms to identify any trends, patterns, or relationships between different variables using Python libraries such as matplotlib, seaborn, and plotly. Used mathematical calculations such as moving average and rolling window calculations to get better results.
Cultural Fit Analysis
The candidate's diverse experience across political consulting, fintech, and banking environments suggests adaptability and a broad perspective. Their involvement in projects requiring data-driven decision-making and strategic planning aligns well with a role that values analytical rigor and impact. The academic projects in 'Stock Analysis' and 'Investment Analysis & Portfolio Management' show an interest in quantitative finance, which is a good fit for a Lead Data Scientist role, especially in financial domains. However, the lack of explicit data science project experience beyond EDA and basic calculations might indicate a need for further development in advanced modeling techniques.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, particularly in identifying root causes of payment issues and performing deep electoral data analysis. Their experience in cross-functional collaboration and stakeholder engagement suggests good interpersonal and communication skills. The ability to track KPIs and adjust tactics based on real-time data indicates a results-oriented and adaptable operational fit. However, the current roles are not directly in a pure Data Scientist capacity, which might require a ramp-up in specific machine learning model development and deployment aspects.