Data Analyst with less than a year in SQL, Python, Power BI, and Advanced Excel.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with hands-on experience in SQL, Python, Power BI, and Advanced Excel, specialising in supply chain analytics, SKU-level performance tracking, and demand-supply optimisation. Proven ability to clean and model million-row datasets, build director-ready dashboards, and engineer KPIs that cut manual reporting effort by 40%.
University of Delhi
B.A. Programme
N/A – June 30, 2023
PurpleMerit
Data Analyst Intern
March 1, 2026 – Present
India
ATLIQ TECHNOLOGIES
Data Analyst Intern
January 1, 2026 – February 1, 2026
India
Credit Card Fraud Detection
May 1, 2026 – Present
Tackled severe class imbalance (0.17% fraud) across 56,746 transactions; goal maximize fraud catch while controlling costly false-alarm rate Benchmarked 4 models (XGBoost, Random Forest, LightGBM, Logistic Regression); applied SMOTE balancing; optimized decision threshold via explicit cost model ($50/FP $389/FN); explained predictions with SHAP top-5 feature analysis XGBoost: ROC-AUC 0.977, 99.88% accuracy; threshold-tuned to 80% fraud recall at 0.014% false-alarm rate; projected $26.6M annual savings (78.9% cost reduction) vs. no-model baseline on 51.8M transactions/year; model deployed as a real-time deviation alert layer flagging high-risk transactions for operational review
View ProjectSupply Chain Analytics
May 1, 2025 – June 1, 2025
Addressed challenges in tracking delivery performance across cities, customers, and products due to fragmented reporting. Designed a centralized analytics solution to monitor logistics KPIs and identify operational inefficiencies. Built a Power BI dashboard tracking OT, IF, OTIF, LFIR, and VOFR across 3 cities, 10+ customers, and 15+ products; Examined 16K+ orders. Identified service-level gaps (OTIF 86%, LFIR 65%); designed logistics tracking system that reduced manual reporting by 40% and improved insight turnaround by 30%.
View ProjectGoogle Data Analytics Certificate
Coursera
January 1, 2025 – Present
Top 5% in SQL HackerRank Challenge
HackerRank
January 1, 2025 – Present
TATA Virtual Internship
TATA
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from supply chain analytics to credit card fraud detection, indicates adaptability and a broad interest in applying data analysis to different business problems. Their proactive pursuit of certifications (Google Data Analytics, HackerRank SQL) and internships suggests a strong drive for continuous learning and professional development. The experience in both ATLIQ TECHNOLOGIES and PurpleMerit, albeit internships, shows exposure to different organizational contexts, which contributes to cultural adaptability.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project work (e.g., addressing class imbalance in fraud detection, optimizing decision thresholds). Their experience in collaborating with cross-functional teams to define KPIs suggests good teamwork and communication. The focus on building operational scorecards and reporting systems indicates an understanding of business needs and the ability to translate data into actionable insights.