Atlanta, GA  

Krishna Teja Naraharisetty

Data Analyst & Product Owner

I sit at the intersection of data engineering, product strategy, and marketing technology — turning complex pipelines and behavioral data into decisions that move the needle.

✉ Get in touch in LinkedIn ↓ Resume
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Years experience
0
Certifications
0
Projects shipped
1×
Published research
GCP
Cloud Platform
SQL
Data Query
Krishna Teja Naraharisetty
Atlanta, GA
About me

Bridging data and decisions

I'm a data professional with a genuine passion for building systems that transform raw data into strategic advantage. My work spans the full lifecycle — from designing scalable ETL pipelines and cloud data warehouses to crafting the dashboards and analyses that guide product and marketing teams.

I'm particularly energized by the space where data meets product and marketing technology. Whether it's wiring up Braze campaigns with AppsFlyer attribution, running A/B tests to optimize funnels, or forecasting with ML models, I love the challenge of making data genuinely useful.

I hold an M.S. in Computer Science (Data Science concentration) from UNC Charlotte, and I've published peer-reviewed research in machine learning applied to retail analytics at an international conference.

Data EngineeringProduct Analytics Marketing TechML / Predictive BI DashboardsCloud Platforms A/B TestingCustomer Attribution Agile / ProductResearch
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Years of industry experience
B+M
Bachelor's in CSE & Master's in CS
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Cloud & analytics certifications
1×
Published ML research, international conference
Technical expertise

What I work with

☁️
Cloud & Big Data
GCPBigQueryCloud FunctionsPub/SubDataflowAzureApache SparkData Lakes
⚙️
Data Engineering
ETL PipelinesDatabricksKafkaFeature EngineeringStreamingData Preprocessing
📊
BI & Visualisation
Looker StudioPower BITableauGA4MatplotlibSeabornChart.js
📣
Marketing Tech & Product
BrazeAppsFlyerA/B TestingCohort AnalysisFunnel AnalysisSegmentationAzure DevOps
🗄️
Databases
BigQueryMySQLMongoDBSQL ServerDatabricksNoSQL
💻
Languages & Dev
PythonSQLJavaRReact.jsNode.jsFlaskDockerGitCI/CD
Career journey

Experience & growth

Feb 2025 — Present · Atlanta, GA
Data Analyst & Product Owner
Fuel & Convenience Retail Industry
  • Spearhead data analytics and product ownership for key digital products, aligning cross-functional priorities to drive strategic business decisions.
  • Build and maintain scalable pipelines using Databricks and SQL, ensuring reliable, high-quality data ingestion across web and mobile platforms.
  • Perform in-depth behavioral and funnel analysis with GA4, BigQuery, and Power BI, directly influencing the product roadmap and marketing strategies.
  • Develop interactive dashboards in Looker Studio and Power BI to visualize KPIs and track customer engagement.
  • Collaborate with marketing and engineering to analyze user journeys via Braze and AppsFlyer (mobile attribution and deep linking).
  • Leverage Azure DevOps for agile product planning, backlog grooming, and sprint tracking.
  • Conduct A/B testing, cohort analysis, and segmentation to improve user retention and app performance.
Jan 2022 — Jun 2023 · Hyderabad, India
Systems Engineer
Enterprise IT & Data Services
  • Developed and optimized large-scale ETL pipelines processing millions of records daily, improving data integration efficiency by 30%.
  • Designed BigQuery-based data warehouses, reducing query processing time by 20% through efficient partitioning and clustering.
  • Built dynamic dashboards using Looker Studio, Power BI, and Tableau, accelerating decision-making by 25%.
  • Optimized SQL queries and indexing strategies, reducing data extraction times by 20%.
  • Integrated data pipelines with cloud analytics platforms including Google BigQuery and AWS S3.
Jan 2020 — Jun 2020 · Hyderabad, India
Web Developer — Intern
EdTech Sector
  • Built full-stack web applications using React.js, Node.js, Express.js, and MongoDB, driving a 40% increase in platform engagement.
  • Constructed data pipelines to process large volumes of user interaction records for behavioral analysis.
  • Integrated RESTful APIs and real-time data processing, improving load times by 30%.
Selected work

Projects & builds

01 · Jan–May 2024
Email Spam Classifier
Production-ready spam detection using NLP — tokenization, stopword removal, and TF-IDF vectorization. Deployed as a real-time Flask web application for instant inference.
PythonFlaskNLPScikit-learnRandom ForestNaïve Bayes
02 · Oct–Dec 2023
Personal Budget Management Tool
Budget tracking platform with MongoDB for secure real-time storage and interactive Power BI dashboards — reducing manual tracking effort by 40%.
PythonXGBoostPower BIMongoDBSQL.NET
03 · Aug 2021–May 2022
Big Mart Sales Prediction
ML forecasting model for retail store sales using XGBoost, Linear Regression, and Decision Trees. Featured in published research at an international ML conference.
PythonXGBoostDecision TreesSQLPandas
Academic background

Education

Aug 2023 — Dec 2024
M.S. Computer Science
Concentration: Data Science
University of North Carolina Charlotte, NC
GPA 3.9 / 4.0 ↗ View verified e-diploma
Jul 2018 — Jun 2022
B.Tech Computer Science & Engineering
Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad
GPA 3.7 / 4.0
Verified credentials

Certifications

Databricks
Databricks Certified Data Analyst Associate
Mar 2026↗
Google Skillshop
Google Analytics Certification
Mar 2026↗
Microsoft
Azure Fundamentals (AZ-900)
Apr 2022↗
Cisco Networking Academy
Programming Essentials in Python
Jan 2020↗
Research

Published work

AIP Conference Proceedings · 2022
Predictive Analysis for Big Mart Sales Using Machine Learning
Presented at the International Conference on Innovative Computing, Informatics & Advanced Communication Systems (ICICIAC-2022). Detailed ML techniques applied to retail sales forecasting — combining feature engineering, XGBoost, and regression models to achieve significant accuracy improvements.
↗ Read the paper
ML

Want the full picture?

Download or view my resume — all experience, skills, and credentials in one place.

↗ View Resume ↓ Download PDF
Say hello

Let's connect

Open to conversations about data, product, interesting problems, or new opportunities.

✉ naraharikrishna007@gmail.com in LinkedIn