Sai Rithvik Kanakamedala

Operations Associate

New York, New York, United States2 yrs 5 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Achieved 3.92 GPA in MS Data Science at Columbia University.
  • Developed innovative Customer Targeting models at Novo Nordisk.
  • Proposed novel activation function for Double U-Net model.
Stackforce AI infers this person is a Data Scientist specializing in Healthcare analytics and Machine Learning.

Contact

Skills

Core Skills

Machine LearningSqlData EngineeringData ModelingData ScienceMathematicsInfrastructure

Other Skills

Large Scale DeploymentsPySparkExploratory Data AnalysisData VisualizationAnalytical SolutionsPython (Programming Language)DataikuApplied Machine LearningMultivariable CalculusVector CalculusOAuthREST APIDockerData CleaningR (Programming Language)

About

πŸš€ Data Science Enthusiast | Machine Learning | Passionate about Analytics πŸ“Š πŸ” Welcome to my profile! I'm Sai Rithvik Kanakamedala, a skilled Data Scientist with a strong foundation in mathematical concepts and statistical models. My journey in the technology industry has honed my expertise in Python, SQL, and implementing cutting-edge Machine Learning algorithms. πŸŽ“ I hold an MS in Data Science from Columbia University, where I achieved a GPA of 3.92/4 and received the prestigious "Best Project" award at the 8th Annual Data Science Hackathon. My passion for exploring the realm of data led me to pursue a BTech in Electrical Engineering with a Minor in Computing at the renowned Indian Institute of Technology Madras, where I earned a remarkable GPA of 9.20/10. πŸ“ˆ In my current role as a Data Scientist at Novo Nordisk, I'm driving marketing analytics to new heights by constructing Customer Targeting models. I take pride in my ability to accelerate modeling pipelines and enhance performance by implementing innovative techniques such as Random Search + Grid Search. 🧠 During my time as a Student Researcher, I worked on Convolutional Neural Networks using PyTorch, achieving a remarkable 72% accuracy on the CIFAR 10 dataset. My dedication to innovation led me to propose a novel activation function that resulted in a dice similarity coefficient of 0.7135 for a computationally efficient Double U-Net model during my internship at HaleAI. πŸ’‘ As an analytical thinker, I've spearheaded various academic projects, such as "Analyzing Loan Defaulters" at Columbia University and "Information Retrieval System" at IIT Madras, where I integrated sophisticated techniques to extract insights and improve system performance. 🌟 My skillset includes Python, SQL, MATLAB, and C, alongside proficiency in Python packages such as Numpy, Pandas, Scikit-Learn, PyTorch, Keras, OpenCV, TensorFlow, and NLTK. I'm also well-versed with data visualization tools like Tableau, Matplotlib, Plotly, and Seaborn. πŸ“š If you're looking for a data-driven problem solver with a passion for exploring the possibilities of AI and analytics, I'd love to connect with you. Let's collaborate and create data-driven solutions that make a meaningful impact in the world! Feel free to reach out via email or phone – I'm excited to connect with like-minded professionals! πŸ“§ sk5112@columbia.edu πŸ“ž +1 (516) 708-3878 #DataScience #MachineLearning #Python #Analytics #AI #DataDrivenDecisions #ProblemSolver #DataEnthusiast #TechInnovation

Experience

2 yrs 5 mos
Total Experience
9 mos
Average Tenure
1 yr 8 mos
Current Experience

Novo nordisk

5 roles

Customer Experience Insights and Analytics Manager

Apr 2026 – Present Β· 2 mos

Data Scientist, Enterprise Data & Advanced Analytics

Promoted

Oct 2024 – Apr 2026 Β· 1 yr 6 mos

Data Scientist, Enterprise Data & Advanced Analytics

Feb 2024 – Oct 2024 Β· 8 mos

  • Worked as a data scientist in the advanced analytics team at Novo Nordisk Inc. when I was employed by Kelly Services.
Machine LearningLarge Scale DeploymentsSQLPySparkExploratory Data Analysis

Data Science Student Assistant

Sep 2023 – Dec 2023 Β· 3 mos Β· Plainsboro, New Jersey, United States

  • I worked on a project that aims to find HCP's who are most likely going to prescribe Novo Nordisk's branded medication in the next quarter. This project is done for the advanced analytics team at Novo Nordisk Inc. when I was employed by Kelly Services.
  • This project involves
  • 1) Exploratory Data Analysis & Visualization: Understanding the trends in past sales and other analysis.
  • 2) Data Engineering: Extracting data from various sources using SQL and PySpark to create an analytical data set (ADS) which can be further used for modeling. New features are created using existing features to create a better model.
  • 3) Data Modeling: Building ML models on the ADS and evaluating the performance of model.

Data Science Intern

Jun 2023 – Aug 2023 Β· 2 mos Β· Plainsboro, New Jersey, United States

  • β€’ I'm working on a test and and control study to quantify the lift in sales due to Ozempic webcasts using propensity score matching.
Data VisualizationData ScienceAnalytical SolutionsSQLPython (Programming Language)Dataiku+1

Jpmorgan chase & co.

Student Data Scientist

Sep 2023 – Dec 2023 Β· 3 mos

  • Worked on a research project with an aim to edit facts in Large Language Models (LLM's) to save computational resources, ultimately cutting down the need for full-scale retraining.
  • Hypothesis -- Facts related to different relations are stored in different layers of the LLM.
  • Experiment -- Visualized heatmaps of confidence of prediction of gpt2-xl for multiple prompts belonging to different relations.
  • Method -- Causal tracing to identify important layers for predicting the object.

Columbia university

Graduate Student Athlete Tutor

Feb 2023 – Jun 2023 Β· 4 mos Β· New York City Metropolitan Area

  • I help in tutoring student athletes of Columbia University in Calculus I, II, III courses

Oracle

Server Technology Intern

Jun 2021 – Jul 2021 Β· 1 mo

  • Configured Oracle HTTP Server and Oracle Access Manager (OAM) that is essential for protecting
  • Oracle Unified Directory.
  • Learned how OAuth works and using OAuth REST endpoints to protect OUD.
  • Setup docker containers on which OAM and OUD software’s are installed and synchronized.
Multivariable CalculusVector CalculusMathematics

Haleai

Artificial Intelligence Researcher

Jul 2020 – Dec 2020 Β· 5 mos

  • Teamed up to design a computationally efficient Double U-Net model with less than half of trainable parameters of a normal U-Net
  • Proposed a new activation function for Double U-Net architecture to achieve a dice similarity coefficient of 0.7135
  • Published and presented a full-length research paper at a double-blind reviewed conference ICVISP
OAuthREST APIDockerInfrastructure

Education

Columbia University

Master of Science - MS β€” Data Science

Indian Institute of Technology, Madras

Bachelor of Technology - BTech β€” Electrical Engineering

Stackforce found 100+ more professionals with Machine Learning & Sql

Explore similar profiles based on matching skills and experience