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Data Analyst with less than a year in SQL, Python, and Power BI
Results-driven Data Analyst with hands-on experience in data collection, data cleaning, statistical analysis, and data visualization, delivering actionable insights that guide strategic business decisions. Proficient in SQL, Python (Pandas, NumPy, Scikit-learn), Advanced Excel, and Power BI, with demonstrated expertise in pricing analytics, pricing analysis, and planning analysis. Proven track record of transforming complex datasets into clear, decision-ready reports and visualizations that identify trends, patterns, and optimization opportunities. Experienced in collaborating with cross-functional teams to understand business requirements and develop data-driven solutions. Skilled in developing and maintaining data models and databases for analysis and reporting, ensuring data accuracy, integrity, and security across all activities. Passionate about leveraging data to drive business growth and continuously staying current with industry trends and best practices in data analysis and visualization.
GL Bajaj Institute of Management and Research
PGDM · Data Analytics
August 1, 2024 – June 30, 2026
Gaya Infotech, Patna
Advanced Diploma · Computer Application
August 1, 2020 – June 30, 2021
R.L.S.Y College, Patna
B.A. (Hons.) · Economics
August 1, 2015 – June 30, 2019
Innodata India Pvt. Ltd.
Analyst - AI/ML
January 1, 2026 – June 1, 2026
Greater Noida, Uttar Pradesh, India
Excelerate
Data Analyst Associate Intern
June 1, 2025 – July 1, 2025
India
Triedge Solution Pvt. Ltd.
Research Intern - Data Processing & Analysis
May 1, 2025 – July 1, 2025
Delhi, Delhi, India
Pricing Analytics & Competitive Pricing Analysis Dashboard
June 29, 2026 – Present
Collected and cleaned pricing data across 500+ product SKUs from multiple public e-commerce and market data sources using Python (Pandas) and SQL, ensuring data accuracy and integrity before analysis. Applied statistical analysis and pricing analytics techniques to interpret complex pricing datasets, identifying pricing trends, competitive positioning gaps, and revenue optimization opportunities across product categories. Built an interactive Power BI pricing analytics dashboard with DAX measures tracking price elasticity, competitive benchmarks, margin variance, and pricing trend analysis – enabling data-driven pricing decisions for simulated business stakeholders. Performed planning analysis by modeling demand-price relationships and scenario planning for pricing strategy adjustments, delivering actionable insights and recommendations in an executive-ready report. Dataset: Kaggle E-Commerce Pricing & Sales Dataset – publicly available.
Customer Segmentation & Trend Analysis – Statistical Modeling
June 29, 2026 – Present
Collected, cleaned, and organized customer behavioral data from multiple sources, applying data validation and accuracy checks to ensure data integrity across 80,000+ records before modeling. Applied statistical analysis techniques including K-Means clustering, correlation analysis, and regression modeling to interpret complex datasets and identify customer trends, behavioral patterns, and churn risk factors. Translated statistical findings into clear visualizations and business reports communicating key insights on customer segmentation, purchasing trends, and strategic growth opportunities to stakeholders. Developed actionable recommendations for pricing strategy, customer retention, and product planning based on data analysis – directly linking analytics to strategic business decisions and organizational growth objectives.
Operational & Customer Data Analysis – PwC Switzerland (Virtual Live Project)
June 29, 2026 – Present
Collected, cleaned, and analyzed operational datasets covering performance metrics and service KPIs, ensuring data accuracy and integrity throughout the analysis lifecycle. Applied analytical techniques to interpret complex operational data, creating dashboards and visualizations that presented findings in a clear and understandable manner for executive stakeholders.
Fundamentals of Digital Marketing
Coursera
June 1, 2026 – Present
Business Analyst
University of Pennsylvania (Coursera)
August 1, 2024 – Present
Google Data Analyst
Coursera
July 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, including pricing analytics, customer segmentation, and operational data analysis, shows a broad interest in different data analysis applications. Their educational background in Economics provides a strong foundation for business understanding, which is valuable for a Data Analyst role. The certifications further demonstrate a proactive approach to skill development. However, the experience level is quite low, with most roles being internships or short-term, which might indicate a need for more practical, sustained experience in a corporate setting to fully align with senior-level expectations.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work, particularly in identifying trends, patterns, and optimization opportunities. Their experience in cross-functional collaboration and stakeholder communication, as highlighted in project descriptions and the 'Freelancer Statistics Trainer' role, indicates a good operational fit for roles requiring teamwork and presentation of insights. The 'Star Performer Award' also suggests a results-driven attitude and commitment to data accuracy.