Taufeeq Fathima
Hyderabad
Summary
Business/Data Analyst with 2.5 years at Deloitte and technical diploma in data science. Proficient in SQL, Python, Excel, and data visualization for business insights and decision support. Proven ability to translate complex data into actionable recommendations, with recent focus on database performance optimization and query tuning.
Overview
2
2
years of professional experience
Work History
Sr. SQL Developer
Dinero
Hyderabad
04.2022 - 06.2022
3-month engagement at early-stage fintech startup
- Designed database architecture for investment platform supporting customer portfolio management and transactions
- Developed 15+ SQL stored procedures optimizing financial data processing and reporting queries
- Implemented database security protocols and data validation for financial compliance
- Collaborated with product team on feature development and cloud deployment
Analyst
Deloitte USI Consulting
Hyderabad
01.2020 - 04.2022
- Performed lineage analysis for 102 attributes across Basel and CLRTY regulatory releases, identifying data gaps before production deployment
- Mapped 80+ party attributes for federal reporting compliance, ensuring accurate client information representation
- Developed 40+ data quality checks and performed root cause analysis on 30+ attributes, identifying 20+ critical defects proactively
- Created crosswalk mappings for 40+ attributes across two major releases, closing specification gaps
- Managed team tasks in Jira/Rally and produced weekly status reports tracking deliverables across multiple workstreams
- Trained 3-4 team members on validation procedures, reducing rework and increasing team productivity
Education
Post Graduate Diploma - Data Science
IIITB via Upgrad
Bangalore03-2022
Bachelor of Science - Computer Science
Gayatri Vidya Parishad College
Visakhapatnam03-2019
Skills
Languages: SQL, Python, Advanced Excel
Databases: MySQL, PostgreSQL, Oracle SQL
Machine Learning: Linear Regression, Logistic Regression, PCA, Classification
Data Analysis: Statistical Analysis, Data Cleaning, Feature Engineering, EDA
Tools: Jupyter Notebook, Git/GitHub, Pandas, NumPy, Scikit-learn
Visualization: Tableau, Matplotlib, Seaborn
Projects
MySQL Indexing & Query Performance Guide | SQL, Database Optimization | 2024-2025
- Authored 57-page guide demonstrating 90-99% reduction in query rows scanned through strategic indexing
- Achieved 87% query cost reduction replacing full table scans with index lookups; improved join performance by 90%
- Documented complete lifecycle: creation, EXPLAIN analysis, maintenance, fragmentation management, statistics updates
- Covered 8+ scenarios with measurable results; identified anti-patterns preventing index usage
GitHub: [link]
Lead Scoring Case Study | Python, Logistic Regression, Scikit-learn | 2022
- Built model analyzing 9,000+ leads achieving 81% accuracy; identified total visits (coef: 9.28) and time on site as top predictors
- Found API/Lead Form sources convert 3x higher than organic; recommended targeting leads scoring >35/100
- Projected 30% improvement in sales team efficiency through data-driven prioritization strategy
GitHub: [link]
Finance & Risk Analytics | Python, Tableau, Portfolio Theory | 2022
- Analyzed 24 stocks over 10 years building portfolios for two investor personas with different risk profiles
- Low-risk portfolio (17% volatility) achieved 2.3x returns; aggressive portfolio (26%) achieved 5.5x returns
- Built Tableau dashboard visualizing returns, Sharpe ratios, and risk metrics across sectors
GitHub: [link]
Career Gap
Career break for health reasons (fully resolved)
During this period: Maintained technical skills through continued learning and portfolio projects
Timeline
Sr. SQL Developer
Dinero
04.2022 - 06.2022
Analyst
Deloitte USI Consulting
01.2020 - 04.2022
Post Graduate Diploma - Data Science
IIITB via Upgrad
Bachelor of Science - Computer Science
Gayatri Vidya Parishad College