Data Analyst with less than a year in Data Science & Machine Learning.
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 Analyst with hands-on experience in end-to-end data workflows including data collection, cleaning, transforming, exploratory data analysis, and insight generation. Adept at querying large datasets, identifying trends, and delivering actionable insights through dynamic reporting and dashboarding. Strong problem-solving and analytical abilities with a passion for transforming data into actionable business insights.
Rajiv Gandhi College of Engineering, Research & Technology
Bachelor of Technology
August 1, 2019 – June 30, 2023
Innomatics Research Labs
Data Analyst & Data Science Intern
November 1, 2025 – Present
Hyderābād, Telangana, India
Supply Chain Analysis
June 24, 2026 – Present
• Performed Supply Chain Data Analysis on 180K+ logistics records using Python to analyze delivery delays, profitability trends, and operational bottlenecks through KPI-driven business analytics. • Conducted root cause analysis, feature engineering, and visualization-based reporting to identify high-delay operational patterns, shipment inefficiencies, and profit-impacting factors. • Applied Machine Learning algorithms for shipment delay prediction, achieving 75% model accuracy, and utilized SMOTE technique to address class imbalance and improve model performance.
View ProjectE-Commerce Product Data Extraction and Analysis
June 24, 2026 – Present
• Scraped refrigerator product data from e-commerce website (Flipkart) using BeautifulSoup; extracted 700+ records with 10+ features. • Applied Regular Expressions (Regex) to extract and structure text data. Cleaned and preprocessed 700+ records, resolving missing values and improving data quality. • Performed Exploratory Data Analysis (EDA) on 10+ features to identify key pricing trends and product insights.
View ProjectCustomer Segmentation & Sales Analytics
June 24, 2026 – Present
Processed and analyzed 500K+ retail transaction records using Python (Pandas, NumPy), SQL, and Power BI to derive actionable business insights. Implemented RFM-based customer segmentation and customer value analysis to evaluate retention opportunities and high-value customer groups. Built a 4-page Power BI dashboard and authored 16+ SQL business queries to track KPIs, sales performance, customer behavior, revenue trends, and product analytics, supporting data-driven decision-making.
View ProjectCertification in Data Analysis
Innomatics Research Labs
June 1, 2026 – Present
Exploratory Data Analysis
Innomatics Research Labs
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a diverse application of data analysis skills across retail, supply chain, and e-commerce domains, indicating adaptability. The focus on practical, business-oriented outcomes aligns well with a results-driven culture. The internship experience, though current, suggests a proactive approach to gaining real-world exposure.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through project descriptions. Their ability to work with large datasets and translate findings into actionable insights suggests a good operational fit for data-driven roles. Collaboration on data collection and reporting indicates teamwork potential.