Datta Krishna Nikith Chokkakula
Dallas,TX
Summary
Data Analyst with 5+ years of experience driving efficiency and insight at both academic and enterprise levels. Proficient in data modeling, ETL design, and BI automation using SQL, Python, Power BI, Tableau, and AWS (Redshift, S3, EC2). Delivered impactful results such as a 40% reduction in reporting time, ~30% fewer reconciliation errors, ~10% profitability gains, and pipeline error reductions of ~30%. Skilled at translating complex data into actionable dashboards and metrics, supporting strategic decisions, governance, and scalable data integrity.
Overview
7
7
years of professional experience
Work History
Data Analyst
Texas A&M University, Commerce
08.2023 - 06.2025
- Designed logical and physical data models (ERDs, schema design) and optimized SQL queries—improving data accuracy and accessibility by 25–30%.
- Automated Excel-based reporting models, reducing manual workload by 40%.
- Built interactive dashboards (Power BI, Tableau) to monitor student engagement, staffing, and academic performance.
- Consolidated diverse datasets into a centralized reporting system, improving consistency and integrity by 20–25%.
- Delivered ad-hoc SQL analyses and visualizations to support data-driven planning and strategy.
- Applied time-series analysis and regression modeling to monitor and forecast trends in student engagement and academic performance, enabling proactive planning and resource allocation.
Sr. Data Analyst
Nava Bharat Limited
07.2020 - 08.2023
- Partnered with product, engineering, and compliance teams to design ETL pipelines and workflows, reducing errors by ~30%.
- Designed and executed experimentation frameworks (A/B testing for pricing and supply chain KPIs); analyzed results to guide data-informed launch decisions.
- Conducted exploratory analysis of refinery and sales data, applying correlation and regression techniques to identify demand drivers and usage trends.
- Leveraged time-series analysis to detect seasonality and trends, informing dynamic product mix and supply chain strategies.
- Built dashboards in Power BI/Tableau for monitoring revenue growth, product performance, and compliance metrics.
- Introduced anomaly detection mechanisms, improving regulatory reporting accuracy by ~25%.
- Led cross-functional collaboration with leadership, operations, and compliance, aligning analytics with business outcomes.
- Guided a 25-member analytics team through Agile sprints—accelerating delivery of audit-oriented, data-driven solutions.
Data Analyst
Nava Bharat Limited
08.2018 - 06.2020
- Built and optimized SQL pipelines integrating procurement, production, and sales data, reducing reconciliation errors by 30%.
- Automated recurring analyses using SQL and Python; cut turnaround time from days to hours.
- Developed self-service dashboards (Power BI/Tableau) to track product mix, refinery utilization, and demand trends.
- Performed exploratory analysis of regional sales and customer behavior, supporting distribution and growth strategies.
- Collaborated with operations and sales stakeholders to prioritize data initiatives and enable informed decision-making.
Education
M.S. - Business Analytics
Texas A&M University–Commerce
Bachelor of Technology - Mechanical Engineering
SRM University
Skills
- Programming & Analysis: Python, SQL (Redshift, Oracle, T-SQL), Spark
- Data Platforms: AWS Redshift, Redshift Spectrum, S3, EC2
- Databases: SQL Server, PostgreSQL, MySQL
- Visualization & Reporting: Power BI, Tableau, Excel, PowerPoint (presentations)
- Statistics & Analytics: Regression modeling, SAS, MATLAB, applied mathematics, correlation analysis, time-series analysis
- NLP & Machine Learning: Text analytics using Python, supervised models, clustering, anomaly detection
- Collaboration & Communication: Problem-solving skills, collaboration skills, interpersonal skills, stakeholder management, Agile (Scrum)
Timeline
Data Analyst
Texas A&M University, Commerce
08.2023 - 06.2025
Sr. Data Analyst
Nava Bharat Limited
07.2020 - 08.2023
Data Analyst
Nava Bharat Limited
08.2018 - 06.2020
Bachelor of Technology - Mechanical Engineering
SRM University
M.S. - Business Analytics
Texas A&M University–Commerce
Hackathon, Texas A&M - Commerce , Dallas 2024
Hackathon (Texas A&M University- Commerce), Dallas | 2024
· Participated in a hackathon focused on analyzing Amazon product reviews using Natural Language Processing in Python.
· Scraped, preprocessed (tokenization, stop-words removal, stemming/lemmatization), and transformed review texts using TF‑IDF and embedding techniques.
· Built supervised models to classify sentiment (positive/negative/neutral); achieved the best analytical model in the hackathon.
· Analyzed sentiment-rating correlations to surface actionable product insights, identifying strengths and improvement areas.
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