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Manutej Mulaveesala

Manutej Mulaveesala

Senior Data Scientist



My Portfolio Highlights

My New Project

Investigating Netflix Movies and Guest Stars in The Office

My New Course

Introduction to Python

Analytical wordsmith, crafting compelling narratives through data storytelling.

My Work

Take a look at my latest work.


Python Data Science Toolbox (Part 2)


Introduction to Python


Intermediate Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Pluralsight | Apr 2023 - Present

Data Science Instructor

deep learning, and data science to students of varying technical backgrounds, utilizing interactive lectures, live coding, group discussions, and hands-on exercises to promote active learning. - Create and refine course content, including lectures, assignments, and projects, to effectively convey complex concepts and techniques to students and incorporate real-world use cases and datasets. - Foster a supportive and collaborative learning environment that encourages students to ask questions, share ideas, and collaborate on projects.
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Modal | Aug 2022 - Present

Data Science Instructor


Squirro | Feb 2022 - Jul 2022

Solutions Engineer

• Integrated semantic ontology contexts provided by a large Chemical Manufacturing company into a Python ML/AI Pipeline • Deployed advanced ML Workflows (Python and Document-based ML Models) for our clients in a production environment using the Squirro platform, NLP tools, and ML Pipeline • Created Data Loading pipelines for batch loads of RSS News Feeds and NY Times API using Python • Provided extensive customer support for a large electronic manufacturing company using Squirro (python) and Document/Asset Management System

General Assembly | Oct 2021 - Feb 2022

Data Scientist

Successfully completed 500+ hours of expert-led instruction Data Science & Machine Learning, with hands-on learning of Python, SQL, and UNIX, and the industry's most in demand technologies. Developed projects, including: • Project: "The Power of Using Data for Making Pivotal Life Decisions" - College and Major recommendations by SAT Score for High School Students • Skills: Python, Pandas, Numpy, Matplotlib, Seaborn, Data Cleaning, Exploratory Data Analysis, Visualization • Project: Multi-parametric Housing Price Regression Analysis of Ames Housing Data • Skills: Python, Pandas, Numpy, Seaborn, Matplotlib, Data Cleaning, EDA, Linear Regression, Model Evaluation • Project Name: Reddit Web Scraping for Classification of r/personalfinance and r/CSCareerQuestions Skills: Python, PushShiftAPI (), CountVectorizer, Sklearn Pipelines, GridSearchCV, Web Scraping, Data Cleaning, EDA, Natural Language Processing, ML Classification • Project Name: Capstone Project - Music Recommender System • Skills: Python, ML Recommender Model, Pandas, Sklearn, Flask, REST API, Data Cleaning

Nine One Project | Aug 2019 - Oct 2021

Vice President

• End-to-end product and service development for B2B and B2C Solution • Led team collaborations for go-to-market strategy and market communication using social media tools • Designed and developed in-depth curriculum for clients for 8-week transformation • Collaborated on systemic out-of-the-box methodologies to impact personal transformation

IBM | Sep 2016 - Jun 2019

Lead Data Scientist

• Built and led a new AI technical offering that saved costs (thousands of dollars) by serving as both subject matter expert and data scientist on consulting projects • SOW Development and project scoping for 1+ Million Dollar Client deals in the Healthcare and Pharmaceutical Industry • Served as a liaison between the technical software, sales, and client teams to ensure success on sales and delivery of AI projects > $1 million in revenue • Delivered insights of ~5 novel discoveries of drug targets using Watson AI in heretofore untreatable medical conditions within 8-10 week pilot projects with sales teams • Helped accelerate insights for top Medical Hospitals and Pharmaceutical clients by reducing target discovery timeline from 7 years to 9 weeks using Machine Learning

IBM | Sep 2014 - Sep 2016

Watson Health Machine Learning Engineer

• Development and Implementation of large scale cognitive solutions with Industry leaders in Pharmaceutical and Healthcare industries. • Big Data Solution Engineer for partners using large amount of published biomedical research data • Using Data to connect the dots in the human genome in order to accelerate Drug Discover, Drug repurposing, alternative treatment recommendation, etc. • Translated customer specifications and deployed cognitive solutions for business intelligence with a turnaround time of 2 weeks for sales and 8 weeks for clients. • Built NLP and ML solutions for Watson AI that enhanced testing accuracy and precision scores by 40% • Deployed production-level code for an AI product offering within 3 months

Varsity Tutors | Sep 2013 - Aug 2014

Elite tutor

- Customized one-on-one tutoring for students of all ages. K-12, college in math/science subjects. - Subjects tutored: Algebra, Geometry, Calculus, Physics, Chemistry, Biology, and Organic Chemistry - Test prep: SAT, SATII, AP, GRE, and MCAT

UCSF | Jan 2012 - Sep 2013

Brain Cancer Research Associate

- Developed new MRI acquisition methods looking at statistical kurtosis of Diffusion weighted images (DWI) - Scanned clinical patients and coordinated UCSF Neurosurgery and Radiology research interactions - Created semi­-automated segmentation algorithm to define ROIs on anatomical MRIs using MATLAB - Analyzed brain tumor imaging data of pre-clinical murine models to determine treatment efficacy using new imaging biomarkers - Completed written thesis detailing the procedures and analysis of this imaging data

UC Berkeley | May 2011 - Aug 2011

Bio-inspired Mechanics Research

- Analyzed biomechanics data of lizard tail moment using high speed motion capture - Modeled biomechanical motion in advanced volumetric modeling software

UCSF | Sep 2010 - Feb 2011

UCSF Vascular Imaging Research

- Analyzed patient vascular MRI imaging data with computational biology - Determined key parameters by designing a MATLAB program to interface with DICOM image data

My Education

Take a look at my formal education

Master's Degree, Biomedical ImagingUniversity of California, San Francisco | 2012
Bachelor's Degree, Bioengineering and Biomedical EngineeringUniversity of California, Berkeley | 2011

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