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Data Analyst with 3+ years in SQL, Python, and Power BI
Results-driven Data Analyst with 3.5+ years of experience designing enterprise-grade reporting frameworks, deploying predictive models, and delivering actionable business insights across financial services and BPM domains. Proven track record in Advanced SQL, Python, and Power BI, consistently automating repetitive data workflows to reduce processing time and drive SLA compliance above 99%. Deep expertise in ETL pipeline development, large-scale data wrangling (6M+ rows), and translating complex datasets into executive-ready dashboards. Augmenting core analytics skills with ML and GenAI (RAG, Agentic AI) to deliver next-generation business intelligence solutions.
Chhattisgarh Swami Vivekananda Technical University
Bachelor of Engineering · Electronics and Telecommunication
August 1, 2017 – June 30, 2017
Amdox Technologies
Data Science Intern (Data Governance & Analytics)
January 1, 2026 – April 1, 2026
India
Genpact
Process Associate (Data Governance & Analytics)
May 1, 2024 – Present
India
Mobishastra Technologies
Technical Support Engineer (Data & API Operations)
November 1, 2022 – April 1, 2024
India
Customer Churn and Sales Dashboard
June 1, 2026 – Present
Engineered an interactive Power BI dashboard to monitor key sales metrics and customer retention rates, consolidating multi-source data via Advanced SQL. Performed exploratory data analysis (EDA) and built predictive churn models using Python (Pandas, Scikit-learn) to identify high-risk customer segments. Automated daily reporting workflows, empowering stakeholders with actionable, real-time insights to drive data-informed retention strategies.
Enterprise Real-Time Financial Fraud Detection System
June 1, 2026 – Present
Engineered a real-time anomaly detection pipeline to identify illicit financial activities and mitigate risk across a massive, highly imbalanced 6.3 million-row banking dataset. Implemented memory-efficient data ingestion protocols (down casting, chunking) to process high-velocity transaction streams without system bottlenecks. Addressed severe class imbalances using advanced resampling (SMOTE/ADASYN) and hyper-tuned an ADABOOST/XGBoost ensemble, yielding an exceptional AUC of 0.94, Precision of 0.99, and Recall of 0.90.
Cryptocurrency Time Series Forecasting Dashboard
June 1, 2026 – Present
Architected an automated data wrangling pipeline to scrape, clean, and merge historical cryptocurrency market data via financial APIs for deep exploratory data analysis (EDA). Trained a Long Short-Term Memory (LSTM) neural network and a robust back-testing engine to generate highly accurate time-series price forecasts for volatile financial assets. Deployed a live, interactive Streamlit web application featuring real-time data streaming and automated daily reporting scripts to monitor predictive model performance.
Dynamic AI Chatbot Architecture
June 1, 2026 – Present
Architected a modular, scalable conversational agent designed to deliver highly accurate, context-aware responses by querying proprietary custom enterprise data sources. Engineered a Retrieval-Augmented Generation (RAG) pipeline utilizing vector database embeddings to retrieve relevant context, significantly reducing Large Language Model (LLM) hallucinations.
Generative AI
Genome AI (Genpact)
June 1, 2026 – Present
Data Visualization with Insight Generation
Genome AI (Genpact)
June 1, 2026 – Present
Agentic AI
Genome AI (Genpact)
June 1, 2026 – Present
Data Literacy
Genome AI (Genpact)
June 1, 2026 – Present
Invoice to Cash (Practitioner)
Genome AI (Genpact)
June 1, 2026 – Present
Post Graduate Program in Data Science, Machine Learning & Neural Networks
DataTrained
June 1, 2026 – Present
Advanced VLSI Design and Verification
Maven Silicon VLSI Design and Training Center
June 1, 2026 – Present
Data Engineering
Genome AI (Genpact)
June 1, 2026 – Present
Accounts Payable (Generalist)
Genome AI (Genpact)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from customer churn analysis to financial fraud detection and cryptocurrency forecasting, indicates a broad interest and adaptability to different business domains. Their experience in both technical support and data analytics roles, coupled with certifications in Generative AI and Data Engineering, suggests a continuous learning mindset and a willingness to embrace new technologies. The focus on delivering actionable insights and improving data accuracy aligns well with a data-driven organizational culture. The current role as 'Process Associate (Data Governance & Analytics)' at Genpact further solidifies their fit for roles requiring strong data governance and analytical rigor.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through Root Cause Analysis and anomaly detection. Their experience in streamlining incident management and automating reporting workflows indicates a proactive and efficiency-oriented work attitude. The project descriptions suggest an ability to translate complex technical work into actionable business insights, which is crucial for stakeholder communication. The candidate's involvement in data governance and SLA compliance initiatives points to a detail-oriented and responsible approach to data management.