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Data Analyst with less than a year in Python, SQL & Power BI
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Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in Python, SQL, Power BI, and Excel, specializing in transforming raw data into clear, actionable business insights through dashboards, KPI reporting, and data storytelling. Proficient in end-to-end data workflows ETL, data cleaning, exploratory data analysis, statistical analysis, and predictive analytics. Experienced in communicating findings to both technical and non-technical stakeholders to support data-driven decision making. Passionate about solving real-world business problems with data.
Government College of Engineering, Yavatmal
B.Tech · Electronics and Telecommunication Engineering
August 1, 2020 – June 30, 2024
Naresh It Hyderabad
Data Analyst Trainee
July 1, 2024 – December 1, 2024
Hyderābād, Telangana, India
Naresh It Hyderabad
Python Developer Trainee
January 1, 2024 – June 1, 2024
Hyderābād, Telangana, India
EDA Automation Tool - Self-Serve Analytics Platform
July 1, 2024 – December 1, 2024
Built an AI-powered self-serve data analytics web application that automates EDA for uploaded datasets — summary statistics, missing value reports, outlier detection, and correlation heatmaps - enabling business users to derive insights without writing code. Automated the data cleaning and profiling pipeline, processing datasets of up to 100,000 rows, reducing manual analyst EDA time by 60% and accelerating time-to-insight for stakeholders. Integrated local LLMs (Ollama) for AI-generated data narratives, converting statistical outputs into plain-language business summaries — improving stakeholder communication and data storytelling.
Heart Disease Risk Analysis - Clinical Data Analytics Report
July 1, 2024 – December 1, 2024
Conducted end-to-end exploratory data analysis and statistical analysis on 1,000+ patient records to identify and rank cardiovascular risk factors (cholesterol, blood pressure, age, ECG results) using correlation analysis and hypothesis testing. Produced a data-driven analytical report with heatmaps, distribution charts, and KPI summaries, reducing time-to-insight for clinical decision-making by 40%; findings structured to support non-technical stakeholder review.
Twitter Sentiment Analysis - Social Media Analytics Dashboard
July 1, 2024 – December 1, 2024
Designed an end-to-end NLP analytics pipeline — data ingestion, text cleaning, tokenization, TF-IDF feature engineering, and model training — on 50,000+ real-world tweets to classify public sentiment (positive/negative/neutral). Achieved 85%+ F1 score with Logistic Regression; created time-series trend visualizations and WordCloud dashboards to track sentiment shifts over time, enabling data-driven social media reporting.
Restaurant Orders - SQL Business Intelligence Analysis
July 1, 2024 – December 1, 2024
Designed and ran complex SQL queries (CTEs, multi-table joins, window functions, aggregations) to analyze 50,000+ order records across time, cuisine, and menu dimensions — full ETL and data wrangling from raw tables to insight-ready outputs. Delivered a business intelligence report with peak-demand analysis, cuisine popularity rankings, and staffing recommendations; A/B-style comparison of ordering windows projected to improve operational efficiency by 20%.
Employee Management System - HR Data Application
January 1, 2024 – June 1, 2024
Built a data management and reporting application with a Tkinter GUI and SQL Server backend, supporting real-time CRUD on 500+ employee records with Treeview-based data visualization and dynamic filtering. Implemented ETL logic and normalized data modeling (3NF schema) with stored procedures, reducing data entry errors by 30% and enabling clean, audit-ready HR reporting.
Full Stack Data Science & AI with Generative AI and Agentic AI
Naresh It Hyderabad
July 1, 2024 – December 1, 2024
Python Developer Certification
Naresh It Hyderabad
January 1, 2024 – June 1, 2024
Cultural Fit Analysis
The candidate's academic projects and trainee experience cover a broad range of domains (healthcare, food service, HR, social media), demonstrating versatility and adaptability. The explicit mention of communicating findings to non-technical stakeholders and building self-serve tools suggests a collaborative and user-centric approach, which aligns well with a team-oriented culture. The breadth of skills across data analysis, programming, and some machine learning indicates a proactive learning attitude.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to work on diverse datasets and deliver actionable insights, suggesting a problem-solving mindset. The focus on reducing manual effort (EDA automation) and improving efficiency (restaurant orders) indicates an operational fit for roles requiring process optimization. The emphasis on stakeholder communication and data storytelling points to good communication skills for presenting findings.