Skills: The Tools in My Arsenal
After diving into who I am, let's get into the nitty-gritty: what can I actually do? Built on a strong foundation of academic rigor and hands-on experience, my skill set is like a Swiss Army knife for data science.
About Me: A Story of Curiosity and First Principles
Picture this: you're staring at 23.1 billion data points related to a crucial healthcare challenge. Most would feel overwhelmed, but for me, it was a playground of possibilities. Equipped with a Master's in Data Science from the University of Rochester and an AWS Solutions Architect certification, I live for moments like this. But, how did I get here?
When Deep Learning Meets First Principles
Imagine combining the predictive power of deep learning with the foundational clarity of first-principle thinking. That's my sweet spot. Whether it's cracking natural language processing puzzles or venturing into generative AI, my approach is anchored in breaking things down to their most basic truths.
- Phone: +1 585 500 2640
- City: New York, USA
- Degree: Master's in Data Science
- Email: sharadksingh97@gmail.com
Now, you may be wondering: what drives someone to dig so deep into data? It's simple—my work is more than just a job; it's a psychological and intellectual quest. I value trust and integrity, and I thrive in leadership roles where directness is appreciated. But what's the most unexpected challenge I've faced in my career? Scroll down to find out.
Programming Languages:
- Python
- R
- SQL
- Java
- JavaScript
- HTML
- CSS
Modeling Techniques:
- Deep Learning
- Machine Learning
- Regression Analysis
- Supervised Learning
- Unsupervised Learning
- Time Series Analysis
- Generative Modeling
Statistical Analysis: Decoding the Patterns
- Statistical Distributions
- Hypothesis Testing
- Parametric/Non-Parametric Models
- Generalized Linear Models
- Network Statistics
- Network Community Detections
Portfolio: The Lab Reports
Now that you've seen my toolbox, let's dive into the laboratory where I experiment, innovate, and iterate. These projects showcase my first-principles thinking and data-driven solutions, providing a tangible glimpse into how I apply my skills in real-world scenarios.
- All
- LLMs
- Deep Learning
- Machine Learning
- Statistical Analytics
Resume: The Blueprint of My Data-Driven Journey
After exploring the tangible outcomes in my portfolio, let's step back and view the bigger picture. My resume is a roadmap of my journey, from top-tier education to groundbreaking work experiences, each step a calculated move in my data-driven chess game.
Professional Experience
Data Scientist
Jan 2023 - Present
HEEL, University of Rochester Medical Center (URMC), Rochester, NY
- Currently leading the development of a Retrieval-Augmented Generation (RAG) solution for enhanced chat interactions with medical documents, focusing on reducing inaccuracies and targeting 100% retrieval accuracy using Sparse Mixture of Expert LLMs.
- Conducted comprehensive analysis of Long COVID risk factors using Spark and SQL on a dataset exceeding 12M patients, resulting in research published in BMC Public Health journal, demonstrating proficiency in large-scale data handling and analytics. Link
- Engineered an innovative end-to-end framework for healthcare equity measurement, employing data analytics and network science on over 1.6M patient encounters. Showcased the research at prestigious forums, including the DEI UR Medicine Research Symposium, GIDS Research Fair, and CCRC Research Talk.
- Led a team in a nationwide collaborative effort with researchers from multiple institutions across the US, analyzing billions of rows of confidential patient-level data using Python and PySpark. This was in response to the NIH's quarterly research queries for the RECOVER Initiative (Researching COVID to Enhance Recovery).
- Provided mentorship and oversight to undergraduate researchers in the lab, fostering a culture of academic excellence.
Machine Learning Engineer
Sep 2023 - Dec 2023
Wegmans, Rochester, NY
- Developed scalable machine learning models, including XGBoost, for Wegmans' demand forecasting across 100+ items in a capstone project. Achieved a 52% reduction in Mean Absolute Percentage Error (MAPE), significantly enhancing forecast accuracy.
- Spearheaded the integration of a Temporal Fusion Transformer deep learning approach, utilizing NVIDIA A100 multi-GPU clusters for model training and tuning; outperformed existing models and provided interpretable insights, enhancing decision-making processes.
- Conducted thorough data cleaning, uncovering and correcting pricing data inconsistencies, thereby contributing to enhanced data quality and integrity.
Research Assistant
Sep 2022 - Dec 2022
University of Rochester, Rochester, NY
- Volunteered in an ambitious project to construct a robust model architecture adept at tackling common corruptions and adversarial attacks in wild audio-visual recognition scenarios.
Software Engineer
Oct 2020 - Jul 2022
Tata Consultancy Services (TCS), Kolkata, India
- Engineered and automated the client's inventory portal using ServiceNow as part of an Agile cross-functional team, leading to an 89% reduction in circuit renewal time, from 180 days to 19 days.
- Developed bespoke reporting and data visualization tools that enabled data-informed decision-making, optimizing inventory management workflows.
- Mentored junior developers, providing technical guidance and fostering the team's growth and development.
Education
Master of Science in Data Science
Aug 2022 - Dec 2023
University of Rochester, Rochester, NY
- Specialized coursework: Frontiers in Deep Learning, Spark, Statistical Machine Learning, Time Series Forecasting, Computational Statistics, Data Mining.
- Recognized for academic excellence with a 25% Scholarship on tuition fees.
Bachelor of Technology in Computer Science & Engineering
Jun 2016 - Aug 2020
SRM University, Chennai, India
- Advanced coursework: Artificial Intelligence, Data Science and Big Data Analytics, Natural Language Processing, Data Structures, Design and Analysis of Algorithms, Database Management Systems, Cloud Computing.
Achievements: The Milestones
While the journey is as important as the destination, sometimes the milestones along the way deserve a spotlight. From scholarly accolades to professional triumphs, these are not just my achievements; they are case studies in dedication and innovation.
1st Place - NASA's Predicting Pushback Time Competition
As part of a proficient team of three, I built an airline pushback prediction model using the XGBoost regressor, achieving a mean absolute error of 4.5091. This involved the analysis of air traffic and weather data from 10 different airports, successfully processing a dataset containing 26 million records. Our efforts led us to secure the first place among 377 participants, with a prize pool of $50,000. This accomplishment demonstrated our ability to collaboratively handle and process large datasets, while employing complex machine learning algorithms efficiently.
1st Prize - University of Rochester CMTI Create-a-thon
I, along with my team of three, undertook extensive research and devised an innovative solution aimed at tackling healthcare accessibility issues in remote locations. Our solution demonstrated a novel application of data science in addressing a critical issue in healthcare technology. Our innovative approach topped a competitive event and earned us a $1000 cash prize, highlighting our problem-solving skills, innovation, and teamwork.
Certified Excellence: Where Theory Meets Practice
Certifications are more than just badges—they're a testament to a rigorous training process and an undying curiosity to learn. Here are the credentials that keep me at the forefront of emerging technologies and methodologies in data science.
AWS Certified Solutions Architect
I have successfully passed the AWS Certified Solutions Architect exam, validating my skills in designing distributed systems, including best practices for architecting and deploying secure and robust applications on AWS technologies.
Let's Collaborate
Your journey through my portfolio doesn't have to end here. If you're intrigued by my work and wish to collaborate, or simply want to say hello, I'm just a message away. Let's drive innovation together.
Location:
Rochester, New York
Email:
sharadksingh97@gmail.com
Call:
+1 (585) 500 2640