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Data Analyst | Data Engineer | PySpark | Power BI | SQL | Databricks | ETL & Visualization Specialist | Ex-Senior Engineer (L&T) | Specialized in Big Data Analytics at CDAC ACTS
I thrive at the intersection of industrial engineering discipline and data-driven storytelling. After a successful tenure as a Senior Engineer at Larsen & Toubro, I pivoted into the world of Big Data and Analytics to solve complex business problems at scale. Currently, I am sharpening my expertise in the PG-DBDA program at CDAC-ACTS, Pune. With a foundation in Electronics & Telecommunication Engineering and a GATE 2025 qualification in Data Science & AI, I combine a deep understanding of hardware-level logic with modern cloud and big data frameworks. My background at L&T taught me the value of data integrity and project coordination, which I now apply to building robust data pipelines and analytical models. My Core Technical Toolkit: Big Data & Cloud: PySpark, Databricks, ETL Pipeline Development. Languages & Databases: Python (Pandas, NumPy, Scikit-learn), MySQL (Window Functions, CTEs). Data Visualization: Power BI (DAX, Advanced Dashboarding), Matplotlib, Seaborn. Specializations: Predictive Modeling, Machine Learning, Data Integrity, Project Coordination. Key Projects: Credit Card Financial Dashboard (Power BI & SQL): Analyzed $55M in revenue and 600K+ transactions to monitor key financial metrics and customer segments, providing actionable insights for stakeholders. Amazon Sales Trend Analysis (PySpark): Leveraged PySpark to process and analyze retail data, identifying seasonal trends and sales drivers to optimize inventory insights. Fraud Finder (Machine Learning): Developed a predictive model to detect insurance fraud, enhancing security and operational efficiency. Beyond the code, I believe that technical excellence is amplified by leadership. As a regional Youth Parliament winner and a state-level athlete, I bring adaptability, clear communication, and a relentless drive for excellence to every team I join. Let’s connect! I’m always open to di
Centre for Development of Advanced Computing (C-DAC)
Post Graduate Diploma, Big Data Analytics
August 1, 2025 – February 1, 2026
Government Engineering College Raipur
Bachelor of Technology - BTech, Electronics and Telecommunication Engineering
January 1, 2019 – January 1, 2023
Larsen & Toubro
Senior Engineer
July 1, 2024 – September 1, 2024
Larsen & Toubro
Engineer
July 1, 2023 – July 1, 2024
Amazon Sales Trend Analysis Using Big Data
December 1, 2025 – January 1, 2026
Analysis of Amazon Sales Data using PySpark and Databricks is a project that uses Big Data tools to analyze Amazon sales data. The project involves data processing and analysis to determine sales trends and categories of sales, among other insights, using Apache Spark on the Databricks platform.
FraudFinder: Insurance Risk Prediction
December 1, 2025 – January 1, 2026
Achieved 93.51% Recall by optimizing an XGBoost pipeline to prioritize fraudulent claim detection. • Resolved extreme class imbalance via cost-sensitive learning (scale_pos_weight=15.7). • Integrated SHAP explanations into a Streamlit app to provide transparency for auditors
Machine Learning in Haptics (Internship Certificate)
Indian Institute of Technology, Delhi
June 23, 2026 – Present
Certification of Appreciation
Uttar Pradesh Metro Rail Corporation Ltd. (UPMRC)
June 23, 2026 – Present
SQL(Advanced)
HackerRank
June 23, 2026 – Present
PG-Diploma in Big Data Analytics
CDAC ACTS CINE
June 23, 2026 – Present
Deloitte Australia - Data Analytics Job Simulation
Forage
June 23, 2026 – Present
SQL(Intermediate)
HackerRank
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's projects show initiative and a problem-solving approach, which could align with a data-driven culture. However, the professional experience as 'Engineer' and 'Senior Engineer' at Larsen & Toubro, without specific data-related responsibilities listed, does not directly align with a Data Analyst role. The education and certifications indicate a strong interest in the field, but practical application in a professional setting is not clearly demonstrated. The experience level is 1, which is entry-level, while the target role is 'Data Analyst' which can vary in seniority. The lack of detailed project technologies and skills in the experience section makes it difficult to fully assess cultural fit for a data-intensive role.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Psychometric test scores are 0, offering no insight.