Hi, I'm Nikhil Goutham
Data Scientist with expertise in Data Analysis, Machine Learning, Deep Learning and AI
Who is this guy?
Data Scientist with over 3 years of experience in building machine learning models, developing data pipelines, and extracting insights from complex datasets. Expertise in supervised and unsupervised learning, deep learning, and natural language processing.
Skilled in Python, SQL, and cloud-based data engineering solutions. Proven ability to design scalable AI models, optimize ETL workflows, and deploy data-driven solutions that enhance business decision-making.
Contents
Education
Master of Science in Data Science
New Jersey Institute of Technology (NJIT)
Jan'23 - Dec'24
GPA: 3.95
Specialized in advanced analytics, machine learning, and data engineering
Focused on developing scalable solutions for real-world data challenges
Applied AI/ML techniques to solve complex business problems
Relevant Coursework:
Big DataMachine LearningDeep LearningCloud ComputingData VisualizationData MiningStatisticsR
Bachelor of Technology in Mechanical Engineering
BML Munjal University, New Delhi, India
Aug'17-Aug'21
GPA: 3.5
Received academic scholarship for outstanding performance
Sports Coordinator, Hero Challenge Fest (Jan-Feb 2018)
Sports Representative Head, Banyan League (Jan-Feb 2019)
Key Achievements:
Managed logistics for multiple teams, overseeing transportation, deliveries, inventory, and supply chain processes
Collaborated with cross-functional stakeholders to optimize workflows and enhance team productivity
That One Excel Sheet
Now you might wonder, why the heck did I shift my career from mechanical to data?
Ngl, that's what my parents wondered too.
It all started with that one Excel sheet. That one regression equation.
During my internships, I worked on projects involving smart manufacturing and energy optimization, where I eventually had to use data to improve efficiency. That's when it clicked, the wonders data could do.
Like, if a simple regression problem on a freaking Excel sheet could impact the climate by reducing X% of energy consumption, I could only imagine what else I could do if I pursued this data path deeper.
So I shifted my focus into data and climate tech, which led me to pursue my master's in data science.
Experience & Projects
Verizon Capstone Project
Advanced fault detection system using ML
XGBoostTableauML
Verizon Capstone Project
Led the development of an advanced fault detection system using XGBoost models. Processed and analyzed large-scale JSON logs for pattern recognition, and created comprehensive Tableau dashboards for real-time operational monitoring. Leveraged NJIT's Wulver High Performance Computing system for efficient processing of 50GB+ dataset, utilizing multiple nodes and GPU acceleration for enhanced computational performance.
XGBoostTableauSnowflakePythonML
Kansas City Crime Analysis
Interactive crime data visualization and analysis
TableauData AnalysisVisualization
Kansas City Crime Analysis
Developed an interactive Tableau dashboard analyzing crime data from 2016-2022. Features include COVID-19 impact analysis, crime hotspot identification, and demographic trend analysis. Created comprehensive visualizations for law enforcement and city planning insights.
TableauData AnalysisVisualizationGISStatistics
Web Scraping with R
Automated data extraction from Genome Biology articles
RWeb ScrapingData Analysis
Web Scraping with R
Developed an automated web scraping solution using R to extract and analyze articles from Genome Biology. The tool collects comprehensive data including titles, authors, affiliations, publication dates, abstracts, and full text content, enabling efficient scientific literature analysis.
R ProgrammingrvestdplyrData MiningWeb Scraping
USA House Price Prediction
ML-powered real estate price prediction system
Machine LearningPythonRegression
USA House Price Prediction
Developed a comprehensive machine learning solution using multiple regression models (Random Forest, Gradient Boosting, Ridge CV, ElasticNet CV) to predict U.S. house prices. Analyzed key variables including bedrooms, bathrooms, size, and location to extract patterns for accurate price predictions in real estate applications.
Random ForestGradient BoostingRidge CVElasticNet CVFeature Engineering
Parkinson's Disease Prediction
Time series forecasting for disease progression
Time SeriesARIMAHealthcare
Parkinson's Disease Prediction
Developed a predictive model for Parkinson's disease progression using time series forecasting with ARIMA models. Analyzed peptide abundance, protein expression, and clinical data to predict UPDRS scores. Implemented comprehensive data preprocessing and feature engineering for enhanced prediction accuracy.
Time Series AnalysisARIMA ModelsData PreprocessingFeature EngineeringHealthcare Analytics
Library Management System
Full-stack library database system with GUI
PythonSQLiteTkinter
Library Management System
Developed a comprehensive library management system with a user-friendly GUI using Python and Tkinter. Features include document checkout/return, fine computation, reader management, and advanced search capabilities. Implemented robust database operations using SQLite for efficient data management and retrieval.
PythonSQLiteTkinterGUI DevelopmentDatabase Design
Game of Life: Wormhole
Advanced cellular automata simulation with wormhole tunnels
PythonSimulationGame of Life
Game of Life: Wormhole
An advanced simulation of Conway's Game of Life featuring "wormhole" tunnels that connect different parts of the grid, enabling unique cellular automata behaviors. Built in Python, with visualizations and edge case explorations.
PythonCellular AutomataVisualizationEdge Cases
Energy Optimization for Pharma Labs
Led energy optimization projects for pharmaceutical laboratories, reducing HVAC energy consumption by 15%-23% by analyzing complex datasets, identifying trends, and forecasting energy requirements.
ARIMAEnsemble ModelsTableauExcelWeather Prediction
Energy Optimization for Pharma Labs
- Increased energy demand forecasting accuracy by testing and deploying ARIMA and ensemble models for predictive analytics.
- Improved data-driven decision-making by designing interactive Tableau dashboards, allowing executives to monitor key operational trends.
- Streamlined financial operations by developing automated Excel tools for billing and client solutions.
- Developed weather prediction models using machine learning and time series techniques, enhancing energy forecasting.
ARIMAEnsemble ModelsTableauExcelWeather Prediction
Skills & Technologies
Data Meets Climate
I've been trying to pivot into climate-focused work. I'd love to explore if there might be any data-related roles or upcoming needs, happy to contribute in any capacity. I'm eager to learn and would love to explore new domains
Want to see my resume?
Plot twist: My resume is like a tech startup - constantly iterating and shipping new features!
Between you and me, I'm learning faster than my printer can keep up with! Drop me a line for the latest version - it might have changed while you were reading this! 😄
Request Latest Build v2026-02-16 🎮Get in Touch
Have a question or want to work together? I'd love to hear from you.
Future Goals & Interests
Climate Tech
Passionate about leveraging data science for climate action and sustainability. Experienced in energy optimization projects that reduced consumption by 15-23%. Seeking opportunities in climate tech and environmental data science.
AI/ML Advancement
Continuously exploring cutting-edge machine learning techniques, deep learning architectures, and emerging AI technologies. Focused on developing scalable, ethical AI solutions.
Data Engineering
Building robust, scalable data pipelines and infrastructure. Expertise in cloud platforms, real-time processing, and data architecture design for enterprise solutions.
Healthcare Analytics
Applying data science to healthcare challenges, from disease prediction to patient outcome analysis. Committed to improving healthcare through data-driven insights and predictive modeling.
Open Source
Contributing to the data science community through open source projects, knowledge sharing, and mentorship. Building tools and libraries that help others solve complex data challenges.
Mentorship
Passionate about helping others grow in data science and technology. Offering guidance, sharing knowledge, and supporting the next generation of data professionals and researchers.
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