DVM

Divya Vani Manepalli

Data Analyst

https://www.opentalent.in/divya-vani-manepalli

Data Analyst with less than a year in SQL, Power BI, and Python for data-driven insights.

Key Strengths

Proficient in SQL with advanced features like joins, subqueries, CTEs, and window functions for data extraction and transformation.
Strong experience in building interactive Power BI dashboards with DAX measures and KPIs.
Demonstrated ability in exploratory data analysis (EDA) and identifying trends for business insights.
Experience with Python libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn) for data manipulation and basic machine learning.
Practical application of NLP for resume matching, including TF-IDF and cosine similarity.
Skilled in advanced Excel for data analysis, reporting, and automation using functions like XLOOKUP and IF.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects demonstrate a good breadth of skills relevant to a Data Analyst role, including SQL, Python, Power BI, Excel, and NLP. The projects are diverse, covering sales insights, AI-driven resume analysis, and retail sales, indicating adaptability and a willingness to tackle different types of data challenges. The focus on delivering actionable insights and automating processes suggests a results-oriented approach, which generally fits well within data-driven organizational cultures. The candidate is currently pursuing a B.Tech in Computer Science, which provides a strong foundational background.

Soft Skills & Operational Fit

The candidate highlights soft skills such as Stakeholder Management, Cross-functional Collaboration, Analytical Thinking, Problem-Solving, and Attention to Detail. These are crucial for a Data Analyst role, indicating a potential for effective teamwork and communication with business stakeholders. The project descriptions also reflect an ability to translate technical findings into business-ready insights, which aligns well with operational needs.

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About

Data Analyst with hands-on experience writing and optimizing SQL queries (joins, subqueries, CTEs, window functions) to extract and transform data from relational databases. Proficient in Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn) for data cleaning, exploratory data analysis, and basic machine learning. Skilled in building interactive Power BI dashboards with DAX measures and KPIs, and in Advanced Excel for reporting and automation. Strong analytical, problem-solving, and stakeholder communication skills with a track record of delivering accurate, decision-ready insights.

Top Skills

SQLMatplotlibData AnalysisData CleaningFeature Engineering

Projects

Sales Insights Data Analysis Dashboard

June 26, 2026 – Present

Wrote and optimized complex SQL queries using joins, subqueries, CTEs, and window functions to extract and transform 150K+ transactional records from MySQL for analysis. Performed exploratory data analysis to identify revenue, profit margin, and customer performance trends, translating findings into KPI dashboards for business stakeholders. Built an interactive Power BI dashboard with DAX measures to monitor sales performance and surface actionable insights for decision-making. Designed schema-level data models and validated data accuracy across reporting workflows, ensuring reliable, decision-ready outputs.

AI Resume Analyzer

June 26, 2026 – Present

Built an NLP-based matching system in Python using TF-IDF vectorization and cosine similarity to score resume-to-job-description fit across 500+ resume samples. Used Pandas and NumPy for data cleaning and preprocessing, including tokenization, stop-word removal, and feature extraction. Evaluated model performance with precision, recall, and accuracy metrics, iteratively refining the scoring logic for reliability. Automated resume screening and ranking end-to-end, reducing manual review effort and accelerating candidate shortlisting.

Retail Store Sales Analysis Dashboard

June 26, 2026 – Present

Analyzed 150+ retail transactions across 5 interconnected datasets to uncover sales trends and customer purchasing patterns. Built an interactive dashboard with 6 Pivot Charts and 6 Slicers for dynamic store-,category-,and product-wise performance analysis. Automated data transformation using XLOOKUP, IF functions, and calculated fields, improving reporting efficiency and data accuracy. Tracked key KPIs including Total Sales, Quantity Sold, and Average Selling Price to support data-driven business decisions.

Key Strengths

Proficient in SQL with advanced features like joins, subqueries, CTEs, and window functions for data extraction and transformation.
Strong experience in building interactive Power BI dashboards with DAX measures and KPIs.
Demonstrated ability in exploratory data analysis (EDA) and identifying trends for business insights.
Experience with Python libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn) for data manipulation and basic machine learning.
Practical application of NLP for resume matching, including TF-IDF and cosine similarity.
Skilled in advanced Excel for data analysis, reporting, and automation using functions like XLOOKUP and IF.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Divya Vani Manepalli

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Projects

Key Strengths

Cultural & Operational Fit