Jersey City, NJ— Full Stack Developer & Business Analyst

Hemanth

Boggavarapu

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From Hyderabad to Manhattan — turning data into decisions and code into products.

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The Journey

From India
to New York

Every chapter shaped who I am. A curious kid from India became a product-minded engineer in Manhattan.

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Where it all began
01
2005 — 2017

The Foundation

Where it all began

India

Growing up in India, I was the kid who took apart every gadget in the house just to see how it worked. School wasn't just about grades — it was where I first discovered that I think differently. Math felt like a puzzle game. Science was magic with rules.

Built my first website at 15 — a cricket score tracker in HTML that my friends actually used.

Loren Joseph / Unsplash
Discovering the code
02
2017 — 2019

The Spark

Discovering the code

India

Intermediate was when programming stopped being a hobby and became an obsession. I stayed up late writing Python scripts, automating everything I could. I realized I didn't want to just use technology — I wanted to build it.

Wrote my first Python automation script. Placed in regional coding competitions. Decided: Computer Science is the path.

Clément Hélardot / Unsplash
Building the engineer
03
2019 — 2023

The Engineering Years

Building the engineer

GITAM University, Hyderabad

Four years of intense engineering at GITAM University. I went deep — data structures, algorithms, machine learning, databases. But I didn't just study theory. I built real projects, contributed to teams, and developed a forecasting model for cryptocurrency prices using TensorFlow and Keras.

B.Tech in Computer Science. Built a crypto price prediction model. Completed ML internship at Dhyanahitha.

2022

ML Internship — Dhyanahitha

Hands-on machine learning with Python: data preprocessing, model development, hyperparameter tuning, and Git-based collaboration.

2023

Crypto Price Prediction

Built ML forecasting model with TensorFlow, Keras, and Pandas. Sentiment analysis + time-series predictions via REST APIs.

Sunny Suman / Unsplash
Leveling up in Manhattan
04
2023 — 2025

The New York Chapter

Leveling up in Manhattan

NYIT, Manhattan, New York

Moving to New York wasn't just changing cities — it was changing the scale of my ambition. Pursuing an MBA in Business Analytics at NYIT Manhattan, I learned to think like a strategist while building like an engineer. Data visualization, statistical analysis, A/B testing, KPI metrics — I added the business layer to my engineering core.

MBA in Business Analytics from NYIT. Built AI-powered book recommendation system with SVD + GPT-3.5. Bloomberg certified.

2024

Bloomberg Market Concepts

Certified in financial markets, economics, and data-driven investment analysis.

2025

Book Recommendation System

SVD-based engine processing 1.1M+ ratings with Gradio UI and GPT-3.5 explainability. RMSE: 1.6374.

Zoshua Colah / Unsplash
What I'm building now
05
2025 — Present

The Builder

What I'm building now

Jersey City, NJ

Today, I stand at the intersection of engineering, data science, and business. I'm not just looking for a job — I'm looking for the right problem to solve. I build full-stack applications with AI at the core, and I bring a unique combination of technical depth and business acumen that most developers don't have.

Actively building AI-powered applications. Seeking high-impact roles where I can ship products that matter.

Joey Pedras / Unsplash

Toolkit

Skills & Expertise

Battle-tested across academic projects, internships, and personal builds.

Languages
Python
JavaScript
TypeScript
SQL
C
Frontend
React
Next.js
HTML/CSS
Tailwind CSS
Responsive Design
Backend & Data
Node.js
Express
PostgreSQL
Supabase
REST APIs
AI & ML
OpenAI GPT
TensorFlow
Keras
Scikit-learn
Prompt Engineering
Analytics & Tools
Tableau
Power BI
Pandas
Git & CI/CD
Azure

Selected Work

Projects I've Built

Real problems. Real solutions. Every project started with a question and ended with working software.

Project 01

Book Recommendation System

AI-powered reading, personalized and explained.

Period

Apr 2025 — May 2025

Institution

NYIT Manhattan

PythonSVD / SurpriseGradioOpenAI GPT-3.5REST APIsPrompt Engineering

The Problem

Readers drown in millions of titles. Traditional recommendation engines are black boxes — they suggest books but never explain why, killing user trust and engagement.

The Solution

Engineered an SVD-based recommendation engine on the Book-Crossing dataset (1.1M+ ratings). Built a Gradio interface for real-time interaction and integrated GPT-3.5 to generate human-readable explanations for every recommendation using prompt engineering.

Impact

1.1M+ ratings processedRMSE of 1.6374AI-explained recommendations
Project 02

Cryptocurrency Price Prediction

ML-driven market intelligence for smarter investing.

Period

Mar 2023 — May 2023

Institution

GITAM Hyderabad

PythonTensorFlowKerasPandasREST APIsGit Workflows

The Problem

Crypto markets move on sentiment, not just data. Traditional models miss the human factor — social media buzz, fear, greed. Investors need predictions that account for both numbers and noise.

The Solution

Built a hybrid forecasting model combining time-series analysis with sentiment analysis. Developed with TensorFlow, Keras, and Pandas for model training. Exposed predictions through REST API endpoints integrated with interactive frontend dashboards.

Impact

Sentiment + price correlationReal-time dashboard predictionsFull ML pipeline: data to deploy

Philosophy

How I Think

Code is a tool. Thinking is the weapon.

01

Business × Engineering

MBA + B.Tech isn't just two degrees — it's a superpower. I translate boardroom strategy into production code and engineering constraints into business language.

02

Data-Driven Everything

I don't guess. I measure. From A/B testing to KPI dashboards, every decision I make is backed by evidence. Intuition is good. Intuition plus data is unstoppable.

03

Craft Over Shortcuts

Clean architecture, thoughtful naming, comprehensive tests. I write code that my future self (and teammates) will thank me for. Quality isn't a phase — it's the default.

04

Ship, Learn, Iterate

Perfect is the enemy of shipped. I prototype fast, gather feedback faster, and iterate until the product clicks. The best architecture is the one that actually launches.

Credentials

April 2024
Bloomberg Market ConceptsBloomberg
Nov 2022
Agile with Atlassian JiraAtlassian University
Nov 2021
Database Management EssentialsUniv. of Colorado

Get in Touch

Let's build
something great.

I'm seeking full-time opportunities where I can combine engineering depth with business analytics. If you need someone who ships fast and thinks deeply — let's talk.