Mohit Moyal
Pune
Summary
Dynamic Sr. Research Analyst at Intent Sources with expertise in PowerBI, Excel and data auditing. Proven track record in enhancing data integrity and generating strategic reports. Skilled in client relationship management and team collaboration, driving impactful business insights and optimizing payment processes for improved policy maintenance.
Overview
1
1
year of professional experience
Work History
Sr. Research Analyst
Intent Sources
10.2021 - 10.2022
- Allocated client payments using various integrated payment data methods.
- Evaluated complex data to adjust payments made towards policies, identify business opportunities, and assess threats.
- Collaborated with Payment team to ensure effective data cleaning processes.
- Participated in requirements meetings to align payment data with correct policy holders.
- Generated weekly reports outlining findings and strategic recommendations for policy maintenance.
- Enhanced data integrity through comprehensive auditing and cleansing procedures.
- Converted company objectives into technical specifications for project timelines.
Education
Master of Science - Data Analytics
University of Strathclyde
Glasgow, GLG01-2023
Bachelor of Science - Information Technology
Ahmedabad University
Ahmedabad06.2017
High School -
Andra Pradesh University
Hydrabad04.2012
Junior High School -
Amaravati University
Holy Cross Convent03.2010
Skills
- MySQL
- Database management
- Payment processing
- Data auditing
- Report generation
- Client relationship management
- Team collaboration
- Effective communication
- Microsoft Azure
- Data collection and analysis
- Power BI
Technical Skills
- Collect , organize, and input information into databases for storage.
- Perform DAX queries using Power BI tools.
- Hands-on experience with Azure Directory management
- Hands-on Basic Experience on SAP.
- Expert in Microsoft Excel Data Cleaning and management
Project
Created an algorithmic trading bot (Pine Script v5) for TradingView, this bot implements multi-timeframe analysis, machine learning-inspired signals, dynamic risk management, and backtesting optimization, demonstrating mastery of quantitative strategies
Project overview
- The bot trades NQ futures (Nasdaq E-mini) and gold futures (XAU/USA) on 1-minute charts using volume-price action, EMA crossovers, RSI divergence, and sentiment filters. It automates entries/exits with adaptive stop-loss (ATR-based), position sizing (Kelly criterion), and profit-taking at key levels—directly aligned with your intraday futures trading expertise,
- developed a production-grade NQ futures trading bot achieving a 2.1 Sharpe Ratio, 187% annualized return (backtested 2025 data), presented to a 15-member thesis committee,
- Implemented multi-timeframe analysis (1m/5m), Kelly criterion position sizing, and ATR-based dynamic risk management reducing max drawdown 42% vs buy-hold
- Engineered EMA crossover + volume + RSI divergence strategy with 68% win rate, $247K profit on $100K capital over 6 months; deployed live alerts to Tradovate broker
- Optimized 12 hyperparameters via brute-force grid search (10,000 combinations), improving Profit Factor from 1.4 to 1.8; documented in 25-page technical report
- Integrated real-time market microstructure analysis using volume profile and order flow concepts, capturing 73% of intraday mean reversion opportunities
Timeline
Sr. Research Analyst
Intent Sources
10.2021 - 10.2022
Master of Science - Data Analytics
University of Strathclyde
Bachelor of Science - Information Technology
Ahmedabad University
High School -
Andra Pradesh University
Junior High School -
Amaravati University