VARUN BAMRARA
Data ScienceAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science with less than a year in AI & Data Science with 0.0 Years in Machine Learning & Busines
MBA graduate specializing in Artificial Intelligence & Data Science (CGPA: 8.11, Graphic Era University) with a strong foundation across the full analytics spectrum — from raw data ingestion to machine learning, business intelligence, and executive-level reporting. Hands-on expertise in SQL, Python, Power BI, PySpark, ETL pipelines, and data warehousing, demonstrated through seven independently built end-to-end projects processing millions of records. Proven ability to translate complex datasets into actionable business insights and KPI-driven dashboards. Equally effective as a Data Analyst, Business Analyst, Power BI Analyst, Data Scientist, or MIS Analyst, bringing both technical depth and business communication skills to data-driven organisations.
Graphic Era (Deemed to be University)
MBA · Artificial Intelligence & Data Science
August 1, 2024 – June 30, 2026
D.A.V P.G. College
Bachelor of Commerce (B.Com) · Commerce
August 1, 2020 – June 30, 2023
Climate-Risk-Adjusted Loan Portfolios for Renewable Energy Infrastructure
January 1, 2026 – June 1, 2026
Evaluated infrastructure loan default risks across Indian states by merging 35 years of historical climate anomaly and natural disaster data with standard corporate banking metrics. Predicted non-performing assets (NPAs) using ensemble ML models, providing data-driven risk scoring for lending decisions in the renewable energy sector.
Multimodal Deepfake Detection Using Audio & Video Analysis
January 1, 2026 – June 1, 2026
Developed a dual-stream multimodal network fusing video frame spatial models (EfficientNet-B4) and audio spectrogram classifiers (ResNet-18) to isolate synthetic deepfakes. Incorporated SHAP and Grad-CAM explainability layers, demonstrating ability to build interpretable AI solutions — critical for business and compliance use cases.
End-to-End Sales Analytics Solution
January 1, 2025 – January 1, 2025
Designed and implemented a star schema data warehouse in SQL Server to support structured corporate BI and scalable historical KPI tracking across multiple business units. Automated high-performance ETL pipelines using SSIS to extract, clean, and consolidate multi-source operational sales data into a unified analytical layer. Analysed a 1.27M+ transaction record revenue dataset to identify key category performances, regional trends, and seasonal purchase variations — delivering management-ready insights. Built interactive Power BI dashboards monitoring operational logistics, tracking 830+ delayed shipments to uncover fulfilment bottlenecks and drive corrective action.
The 'Digital Detective' Threat Intelligence Knowledge Graph
January 1, 2025 – January 1, 2025
Constructed a Threat Intelligence Knowledge Graph using GraphSAGE to map entity relationships and execute link prediction, proactively detecting cyber threat actors.
High-ROI Locations for Solar & EV Charging Infrastructure
January 1, 2025 – January 1, 2025
Engineered a dual-mode deployment pipeline mapping optimal intersections for solar and EV charging stations based on regional irradiance, traffic density, and CAGR of EV registrations. Deployed a 6-tab Streamlit decision-support application enabling business and policy stakeholders to explore location recommendations interactively.
Energy Demand Forecasting Model
January 1, 2024 – January 1, 2024
Built a scalable time-series forecasting model for energy demand planning using PySpark on large-scale datasets, demonstrating big data analytics capability. Reduced forecast error by 15% using Random Forest Regression vs. baseline models, achieving R² = 0.989 and RMSE = 1.01 — production-level accuracy for business planning. Engineered features and pre-processed time-series signals, improving model robustness through noise reduction and temporal feature extraction.
Threat & Distress Detection System
January 1, 2024 – January 1, 2024
Pre-processed and tokenised 211K+ unstructured textual records; engineered TF-IDF text representations optimised for NLP classification architectures. Trained a Logistic Regression classifier achieving 75.84% accuracy and 72.27% recall on a multi-class threat detection task using imbalanced real-world data.
Data Analytics Job Simulation
Deloitte (Forage)
June 1, 2026 – Present
SQL Database Management Training
Accelerant Software Solutions
June 1, 2026 – Present
GenAI-Powered Data Analytics Job Simulation
Tata (Forage)
June 1, 2026 – Present
Design Thinking - A Primer
NPTEL (IIT Madras)
June 1, 2026 – Present
Introduction to Prompt Engineering
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse range of applications for data science, from finance (climate-risk), to cybersecurity (threat intelligence), to energy (demand forecasting, infrastructure planning), and sales analytics. This breadth of interest and application aligns well with a dynamic, innovation-driven culture. The focus on interpretable AI and business-ready insights in projects also suggests a practical, value-oriented mindset. However, the lack of professional experience and the psychometric test results raise questions about their readiness for a senior role's collaborative and high-pressure environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving aptitude and a structured approach to data science challenges. The 'Design Thinking' certification further supports a methodical approach to problem-solving. The English test score of 54/100 suggests potential areas for improvement in communication clarity and professional language usage, which are critical for operational fit in a senior role. The psychometric test score of 240/500 indicates potential concerns regarding logical reasoning, work attitude, stress handling, and team collaboration, which are vital for senior-level operational effectiveness.