Hi, I'm Sriteja Madishetty

Data Analyst | AI/ML Engineer

Transforming complex data into actionable insights with expertise in Python, SQL, and Machine Learning. Passionate about leveraging data to drive business decisions and create impact.

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Sriteja Madishetty

About Me

Sriteja Madishetty

Data Analyst with Strong Foundations in AI/ML

I'm a data professional with expertise in data wrangling, visualization, and statistical analysis. Experienced in SQL, Python, Tableau, and Excel for generating actionable business insights. Adept at working with large datasets, building dashboards, and leveraging analytical models to drive decision-making.

My journey in data science began during my computer science undergrad, where I discovered my passion for extracting meaningful patterns from complex datasets. I've since honed my skills through advanced education and hands-on projects in machine learning and AI.

When I'm not analyzing data, you can find me exploring new machine learning techniques, contributing to open-source projects, or writing about data science concepts on Medium.

Phone

+1 661-515-1520

Email

madishetty8@gmail.com

LinkedIn

linkedin.com/in/sritejamadishetty

Education

M.P.S. Data Science, UMBC

Technical Skills

Programming Languages

Python R SQL Bash C++ Java

Python Libraries

Pandas NumPy Matplotlib Seaborn Scikit-Learn TensorFlow PyTorch Hugging Face

Machine Learning

Supervised Learning Unsupervised Learning Feature Engineering Hyperparameter Tuning Model Evaluation Generative AI

Data Visualization

Tableau Power BI Plotly Seaborn Matplotlib

Big Data & Cloud

PySpark Hadoop AWS Azure Google Cloud

DevOps & Tools

Docker Kubernetes Jenkins Git MLflow

Featured Projects

LLM-Driven RAG System

LLM-Driven RAG System for Query Answering

Gen AI

Developed a predictive model using word embeddings to extract treatment names from clinical notes, achieving a 94% weighted F1-score on a highly imbalanced dataset.

RAG NLP SVM SMOTE

Key Achievements

  • Outperformed traditional SVM models by 12%
  • Used pre-trained word embeddings for improved classification
  • Addressed class imbalance with SMOTE and stratified sampling
  • Applied advanced NLP techniques for robust preprocessing
Code Case Study
Employee Attrition Analysis

Employee Attrition Analysis

ML

Developed an unsupervised model for employee attrition, achieving an 86% weighted F1-score on an imbalanced dataset with 500 clusters.

K-Means PCA DBSCAN SME Insights

Key Achievements

  • Performed extensive data cleaning and preprocessing
  • Conducted EDA to identify key trends and outliers
  • Created 500 clusters with SME guidance
  • Demonstrated full ML pipeline expertise
Code Case Study
Stock Trends Analysis

Stock Trends Analysis

Finance

Analyzed stock prices using technical indicators like Moving Averages, RSI, and Bollinger Bands to provide market insights.

Python Pandas Matplotlib Seaborn

Key Achievements

  • Calculated and visualized key technical indicators
  • Provided insights into market trends and volatility
  • Demonstrated data analysis in financial markets
  • Helped investors make informed decisions
Code Case Study
Fine-Tuning LLM

Fine-Tuning LLM for Treatment Prediction

NLP

Fine-tuned Clinical BERT using EHR-trained embeddings for accurate classification and entity recognition from clinical notes.

Clinical BERT Hugging Face SVM SMOTE

Key Achievements

  • Achieved 94% weighted F1-score
  • Fine-tuned Clinical BERT with EHR embeddings
  • Handled class imbalance effectively
  • Applied advanced NLP preprocessing
Code Case Study
View All Projects

Experience & Education

Professional Experience

Senior Software Engineer

02/2022 – 11/2022

HCLTech, Hyderabad, India

  • Optimized SQL queries and ETL workflows for financial reporting
  • Developed automation scripts using Shell and Python, improving efficiency
  • Built predictive analytics models using Python, pandas, and scikit-learn
  • Used NLP to process and extract insights from financial reports
  • Developed Tableau dashboards for financial metrics visualization

Project Engineer

06/2019 – 02/2022

Wipro, Pune, India

  • Developed and maintained Jenkins CI/CD pipelines
  • Managed Red Hat Linux servers and configurations
  • Implemented log monitoring using ELK Stack
  • Automated deployment tasks using Shell scripting
  • Created and optimized SQL queries for ETL workflows
  • Designed Tableau dashboards for sales trends visualization

Education

Master of Professional Studies (M.P.S.) in Data Science

01/2023 – 12/2024

University of Maryland, Baltimore County, USA

  • Specialized in Machine Learning and AI applications
  • Coursework: Advanced Data Structures, Statistical Learning, NLP
  • Research focus: Generative AI and Retrieval-Augmented Generation

Bachelor of Technology (B.Tech) in Computer Science

08/2015 – 05/2019

Malla Reddy Engineering College, Hyderabad, India

  • Graduated with First Class Honors
  • Coursework: Data Structures, Algorithms, Database Systems
  • Final Year Project: Predictive Analytics for Healthcare

Certifications

Oracle Cloud Infrastructure 2024 Generative AI Professional

Issued: 07/2024

Get In Touch

Contact Information

Interested in working together or have questions about my work? Feel free to reach out through any of these channels.

Location

Maryland, USA

Email

madishetty8@gmail.com

Phone

+1 661-515-1520

Connect With Me

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