Nikita Muddapati
Data Scientist · Data Analyst · AI/ML

I turn messy business data into models and dashboards people act on.

Five years across financial services, consulting and academic AI research. Python, SQL and R for forecasting, classification and NLP; Tableau and Power BI for the reporting that gets it in front of decision makers. MS in Business Analytics from the University of Utah.

Hyderabad, India · Open to Data Scientist, Data Analyst and AI/ML Engineer roles

Nikita Muddapati
98%
AUC on loan-default prediction across 37.5M records
$26,477
Annual revenue added by the Swire Coca-Cola threshold analysis
1,900+
Buy-side firms covered by SS&C Eze root-cause work
60%
Less manual effort from a RAG recommendation workflow
Career path

From a computer science degree in Vizag to applied AI research

Twelve years, two countries, one direction: closer to the data and the decisions it drives.

Career path 2014 to 2026 A rising line from B.Tech at GITAM in 2014 through internships, Accenture, SS&C Eze, an MS at the University of Utah, AI research, to Hyderabad in 2026. 2014 2016 2018 2020 2022 2024 2026 B.Tech, Computer ScienceGITAM University · 2014–2018 App Dev InternTechfort · 2016 Cloud Computing InternAspirevision · 2017 Analytics Dev AssociateAccenture · 2018–2019 Systems AnalystSS&C Eze · 2019–2020 Solutions AnalystSS&C Eze · 2020–2022 MS Business Analytics · GPA 3.8University of Utah · 2024–2025 AI Research AssistantUniversity of Utah · 2025–2026 Now: HyderabadData Science · AI/ML roles
Role or degreeTodayHeight shows progression toward applied data science and AI work
Jun 2025 – Mar 2026

AI Research Assistant Latest

University of Utah, David Eccles School of Business · Remote
  • Built an automated elective-to-career-goal recommendation workflow with NLP, a RAG architecture and Power Automate over unstructured MBA syllabi, cutting manual effort by more than 60%.
  • Tested embedding and BERT-based models and folded in stakeholder feedback to raise accuracy.
Aug 2024 – May 2025

Graduate Teaching Assistant, Business Analytics

University of Utah · Salt Lake City
  • Guided 40+ students on experiment design, hypothesis testing and A/B testing.
  • Built a PySpark pipeline in Databricks that cut preprocessing time by 12%.
Jan 2024 – May 2025

MS, Business Analytics

University of Utah, David Eccles School of Business · GPA 3.8/4
Mar 2020 – Mar 2022

Solutions Analyst

SS&C Eze · Hyderabad
  • Improved efficiency by 30% through SQL and FIX-based root-cause analysis for 1,900+ buy-side firms.
  • Forecasting on market data to predict trade-volume spikes; Power BI dashboards that cut reporting time by 25%.
Apr 2019 – Mar 2020

Systems Analyst

SS&C Eze · Hyderabad
  • Monitored global hedge-fund trading systems; logistic regression models to find drivers of trade breaks.
  • Best Associate of the Quarter for 100% client-service accuracy across APAC, EMEA and NOAM.
Jul 2018 – Mar 2019

Analytics Development Associate

Accenture · Hyderabad
  • Carlsberg SKU and regional performance analysis in Pandas and SQL Server.
  • Customer lifetime value and churn framework that drove a 6% lift in retention.
2016 – 2017

Internships

Cloud Computing Intern (Microsoft-certified), Aspirevision Tech · App Development Intern, Techfort Software · Hyderabad
Jun 2014 – Mar 2018

B.Tech, Computer Science

GITAM University · Visakhapatnam
Projects

Selected work

Outcome first. Each of these started with a business question and ended with a number someone could act on.

+$26,477 / yr

Swire Coca-Cola: growth optimization

Found an optimal 300-gallon threshold through ETL pipelines, sensitivity analysis and predictive modelling. Raised the growth-ready customer share from 4.12% to 5.27% and built Tableau dashboards to balance growth against delivery cost.

PythonSQLTableauETL
98% AUC · 0.91 recall

Home Credit: loan default risk

Predicted loan defaults with a tuned gradient boosting model on 37.5M+ records. Feature engineering, upsampling and hyperparameter tuning to cut losses from defaulters classed as creditworthy.

PythonGBMFeature engineering
$26,559 less pricing error

Ames property price prediction

Neural-network price model for Ames houses. Outlier detection and clustering (PCA, k-means) to find the pricing segments that matter to buyers and investors.

PythonNeural networksPCAk-means
175K tweets analyzed

Super Bowl game day challenge

Sentiment analysis and time-series forecasting on tweets about 2024 Super Bowl ads. Identified the top commercials, ad-timing effects and viewer preferences, reported as advertising ROI in Tableau.

RSQLPythonTableau
Skills

What I work with

Highlighted chips are the daily tools.

Languages
PythonSQLRPySparkVBA
Machine learning
XGBoostRandom ForestLogistic regressionNeural networksNLP (BERT, sentence transformers)RAG and LLM workflowsTime series (ARIMAX)k-means, PCA
Statistics
Hypothesis testingA/B testingCausal inferenceForecastingSentiment analysis
Tools
TableauPower BIDatabricksGCPAzurePostgreSQLBigQuerySQL ServerGitPower Automaten8nExcel
Education

Degrees and certifications

MS, Business Analytics · GPA 3.8/4
University of Utah, David Eccles School of Business
Jan 2024 – May 2025
B.Tech, Computer Science
GITAM University, Visakhapatnam
Jun 2014 – Mar 2018
Tableau · CourseraFoundations of Strategic Business Analytics · ESSECMarketing Analytics · ESSECMySQL for Data Analytics · UdemyIntroduction to Power BI · DataCampBest Associate of the Quarter · SS&C Eze
Contact

Get in touch

Hiring for a data or AI role in Hyderabad? Email is the quickest way to reach me.