Sai Sudheer Neelam

Data Analyst | Data Cleaning | Predictive Modeling

Building data products end-to-end

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Portrait of Sai Sudheer Neelam, Data Professional

About Me

I'm a graduate student from University of Memphis, specializing in transforming messy data into structured & powerful insights through predictive modeling, statistical methods, and clean pipelines.

Driven by curiosity, powered by data. My passion lies in uncovering hidden patterns and trends that drive meaningful business decisions. From data cleaning to advanced analytics, I bridge the gap between raw information and actionable intelligence.

With a strong foundation in both technical skills and strategic thinking, I bring a unique perspective to every project ensuring data integrity while delivering insights that matter.

Outside of work, I enjoy chess and anime.

Skill Set

Specialized expertise in transforming complex data challenges into strategic opportunities

Data Cleaning & Wrangling

Ensuring data integrity from the ground up.

Predictive Modeling & ML

Forecasting outcomes with algorithms.

Statistical Analysis & BI

Storytelling through numbers.

Strategic Project Management

Bridging insights to action.

Technical Stack

Languages: C • Python • SQL • R
Tools & Technologies: Excel • Power Point • Power BI • Tableau • HTML • CSS • Visual Studio • Selenium • Google Analytics
Methods: ETL Pipelines • Statistical Methods • Data Modeling Techniques

Featured Projects

Real-world applications of data science and machine learning

Impostor Text Hunt — Hybrid Pipeline

2025

A stacking ensemble hybrid model to detect difference between right & wrong AI-generated text combining classical ML, a fine-tuned Transformer, and embedding dissimilarity.

Fine-tuned `distilbert-base-uncased` for deep semantic context

`StratifiedKFold` cross-validation for robust generalization

`LogisticRegression` meta-learner blends base predictions

Python Scikit-learn Transformers XGBoost Ensemble Kaggle

Peer-to-Peer Loan Analytics

2024

Built comprehensive risk assessment for a P2P lending platform using advanced ML techniques.

Cleaned and preprocessed large-scale loan data using Excel & Python

Applied sophisticated imputation for missing data handling

Extensive EDA to identify key borrower risk features

Gradient Boosting model optimized for precision/recall

Delivered actionable risk insights and recommendations

Python Excel Gradient Boosting Risk Analysis EDA

Heart Disease Prediction

2023

Developed a logistic regression model to predict heart disease risk with comprehensive data analysis and visualization.

Led data cleaning in Excel with focus on handling class imbalance

Implemented feature selection techniques for optimal model performance

Created interactive Tableau visualizations (smoking, age, BMI, activity)

Selected final model based on rigorous accuracy metrics

Python Excel Tableau Machine Learning Logistic Regression

Modeling & Simulation of an Electric Vehicle

2021

Built a complete BEV in MATLAB/Simulink — powertrain, controls, and energy analytics — to study speed tracking, range, current flow, and regenerative braking behavior across a standard drive cycle.

Assembled RWD drivetrain: Physical Vehicle Body, DC motor, simple gear, and four tire models.

Implemented H-Bridge inverter driven by PWM; longitudinal PI driver for speed tracking (FTP75).

Battery & SOC pipeline: 240 V pack, 80 Ah; discrete integration for SOC with regen capture.

Results: ~16.5 km distance on FTP75 with ~15% SOC remaining; regen visible in current/SOC traces.

Documented component sizing & parameters (e.g., 75 kW DC motor, gear & tire coefficients).

MATLAB Simulink DC Motor H-Bridge PWM Regenerative Braking SOC Drive Cycle

Education

From engineering foundations to analytics excellence

University of Memphis

Aug 2022 - May 2024

MS in Information Systems

Advanced coursework in data analytics, information systems design, and predictive modeling.

Vignan's Lara Institute of Technology & Science

July 2017 - Aug 2021

B.Tech, Electrical & Electronics Engineering

Strong foundation in analytical thinking and problem-solving methodologies.

Sri Chaitanya Junior College

June 2015 - Apr 2017

Intermediate

Focused on Mathematics, Physics, and Chemistry.

Vignan's High School

May 2015

Secondary School Certificate (SSC)

Strong academic record in core subjects, especially science and math.

Certifications & Accomplishments

A commitment to continuous learning and hands-on experience

Google Analytics Certificate

Google Digital Academy (Skillshop)

Analytics

NPTEL Silver Certificate

The Joy of Computing Using Python

Python Programming NPTEL

NPTEL Elite Certificate

Programming, Data Structures & Algorithms

Python Data Structures Algorithms

NPTEL Completion Certificate

Problem Solving Through Programming in C

C Programming Problem Solving

HackerRank Certificate

Problem Solving (Basic)

Problem Solving Algorithms HackerRank

Udemy Certificate

MS Excel Formulas & Functions

Excel Data Analysis Formulas

FELIJ Certificate

Python Quiz

Python

Workshop on Internet of Things

5-Day Intensive Workshop

IoT Hardware Workshop

Workshop on RC Aircraft

1st Place Winner (out of 50 Teams)

Engineering Prototyping Competition

Blood Donation Appreciation

Voluntary O+ Donation

Volunteering Community

C Programming Workshop

1-Week Participation

C Programming Workshop

Python Programming Course

2-Month Participation

Python Programming

Electrical Quiz

JNTU-Narasaropet Youth Fest

Electrical Engineering Quiz

Get In Touch

Send a Message

Contact Information

Email

saisudheerneelam839@gmail.com

Phone

+1 901-515-1210

+91 95531-66511