Headline

Data Analyst | SQL, Python, BI Dashboards | Agentic AI & Agentic Automation | Market Research & Healthcare Analytics | Driving 30%+ Efficiency Gains

About

I began my journey with a "B.Sc in Biotechnology", where I learned how data reveals hidden patterns in complex systems. That curiosity soon expanded beyond biology into the broader world of analytics — where I discovered the power of turning raw datasets into insights that drive smarter business decisions. Through internships and certification projects with "BCG, Deloitte, JPMorgan, Bank of America, Quantium, and IBM SkillsBuild", I gained hands-on experience in: - "SQL analytics" for customer segmentation, financial insights, and advanced query design in BigQuery. - "Python projects" including churn prediction, sentiment analysis, market basket analysis, and time series forecasting. - "Data visualization" with Power BI, Tableau, and Excel, creating dashboards that executives could act on. - "Error-free execution and troubleshooting" in diverse environments (Kaggle, BigQuery), ensuring reliable results. What sets me apart is the ability to "translate complex data into clear, actionable narratives" that decision-makers can trust. I combine technical depth with strategic communication, ensuring that insights don’t just stay in reports — they shape outcomes. 🎯 Career Goal To contribute as a "Data Analyst" in a forward-thinking organization, applying my skills to real-world challenges while growing into a "Data Scientist" who drives innovation and strategy. 📩 Call to Action Let’s connect if you’re looking for a data-driven problem solver ready to deliver impact.

Location

Indore

AI stack

antigravity

opencode

Work experience

Data Analyst Intern at Bluestock™🔺, Feb 2026 - Jun 2026 · 5 mos, Remote, Optimized Data Pipelines: Streamlined complex SQL queries to extract and transform large-scale structured datasets, reducing data retrieval time by 15% and ensuring high-fidelity reporting. Developed Interactive Dashboards: Designed and deployed dynamic Power BI dashboards to track key performance indicators (KPIs), cutting reporting latency by 25% and enabling rapid, data-driven decision-making for leadership. Automated Reporting Workflows: Engineered automated analytical pipelines utilizing Python (Pandas) and advanced Excel, eliminating manual redundancies and saving approximately 10+ hours of weekly processing time. Ensured Data Integrity & Governance: Executed stringent data validation protocols and quality checks on thousands of daily records, achieving 99% data accuracy and maintaining strict standard operating procedures (SOPs). Translated Complex Business Logic: Conducted exploratory data analysis (EDA) to identify actionable operational trends, successfully translating technical data insights into clear, strategic recommendations for cross-functional stakeholders.

Analytics Specialist (Intern) at Deloitte, Nov 2025 - Nov 2025 · 1 mo, Remote, Unstructured Data Standardization: Engineered Python scripts (Pandas) to clean and standardize raw client datasets, reducing data anomalies by 95% prior to downstream analysis. Performance Variance Tracking: Developed interactive Tableau dashboards to visualize demographic and performance metrics, identifying a 14% variance in regional sales performance to guide simulated consulting strategies. Strategic EDA: Conducted comprehensive exploratory data analysis (EDA) to map complex business requirements to analytical outputs, presenting actionable findings to simulated stakeholders. Data Governance & Compliance: Audited data privacy protocols during extraction and transformation phases, ensuring 100% compliance with enterprise-level security standards. Executive Storytelling: Formulated strategic business recommendations by synthesizing multi-layered data into clear, concise executive summaries for consulting leadership.

Data Analyst Intern at Post Office Capital Services, Oct 2025 - Jan 2026 · 4 mos, Chhindwara, Madhya Pradesh, India, Large-Scale Data Validation: Analyzed structured datasets across 1M+ active portfolios, executing stringent quality checks and validations to guarantee high-fidelity operational deliverables. Pipeline Optimization & Automation: Optimized complex SQL queries and engineered automated reporting pipelines utilizing Python and Excel. This initiative successfully drove process improvements and achieved a 12% reduction in overall processing time. Advanced Data Mining: Investigated client questions and leveraged data mining techniques to extract actionable trends. Strategic Communication: Translated technical findings into clear operating business rules, effectively communicating operational updates directly to leadership. Operational Excellence: Executed pre-defined operational models and standard operating procedures (SOPs), coordinating seamlessly with cross-functional stakeholders to ensure on-time, smooth delivery.

Analytics Specialist (Intern) at Tata Group, Oct 2025 - Oct 2025 · 1 mo, Consumer Trend Analytics: Analyzed robust retail and e-commerce datasets using advanced SQL queries to uncover purchasing patterns and optimize inventory models. Cost Efficiency Dashboards: Designed a dynamic Power BI dashboard tracking revenue KPIs and operational bottlenecks, surfacing insights that projected a 10% reduction in simulated overhead costs. A/B Testing & Segmentation: Executed A/B testing analysis on simulated marketing campaigns, determining optimal customer segmentation strategies that modeled a 15% increase in user engagement. Predictive Forecasting: Built customized forecasting models in Excel utilizing historical sales data, successfully predicting quarterly demand surges with 92% accuracy. Operational Optimization: Translated complex data models into actionable business intelligence, driving simulated executive decision-making and operational process improvements.

Sales Specialist (Intern) at Bank of America, Sep 2025 - Sep 2025 · 1 mo, Remote, Anomaly Detection Models: Processed and analyzed financial transaction datasets to identify irregular patterns, enhancing simulated fraud detection accuracy by 18%. Relational Database Management: Constructed and optimized database schemas using PostgreSQL to streamline the storage, retrieval, and querying of over 100,000 simulated banking records. Financial Risk Visualization: Calculated key financial risk metrics and visualized portfolio distributions, delivering insights designed to optimize asset allocation and mitigate risk. Reporting Automation: Automated weekly financial reporting workflows utilizing Python (NumPy), eliminating manual redundancies and saving an estimated 8 hours of manual data entry per cycle. Regulatory Validation: Executed strict data integrity and compliance checks against simulated regulatory frameworks, ensuring total adherence to standard financial reporting practices.

Education

Bachelor of Science, Bio-Technology, Raja Shankar Shah University, Chhindwara