Sujith Kamme

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Passionate about Data Science and machine learning with 2+ years in Business Analytics. Dedicated to transforming raw data into actionable insights and poised to make a meaningful impact!

About Me

Hello!.. Welcome to my Digital Space!

I am currently pursuing a master's in Applied Data Science at the University of Southern California, maintaining a CGPA of 4.0. My primary interest lies in extracting insights from data to aid organizations in making informed, data-driven decisions. In addition to my academic pursuits, I actively contribute as a DEIA Senator at the Viterbi Graduate Student Association, organizing events that promote diversity, equity, inclusivity, and accessibility.

I have over 2 years of experience in business analytics at a financial services company, successfully leading 20+ projects for customer-facing assets. I am skilled in optimizing processes, products, and services, and suggesting efficient solutions to business stakeholders. I'm a recipient of the CEO award for Functional Excellence - Individual, recognizing my pivotal role in initiating and executing the 'Omnichannel Campaign Integration' Initiative.

Download Resume

Skills & Qualifications

Tech stack

Languages
  • Python
  • Java
  • Databases
  • MySQL
  • MongoDB
  • Web Technologies
  • HTML
  • CSS
  • Javascript
  • Frameworks
  • Flask
  • Spark
  • Kafka
  • Tensorflow
  • PyTorch
  • FastAPI
  • Libraries
  • Statsmodels
  • Scikit-learn
  • Scipy
  • Seaborn
  • Matplotlib
  • Pandas
  • NumPy
  • Tools
  • Git
  • Docker
  • AWS
  • MLflow
  • DVC
  • Tableau
  • Work Experience

    Business Analyst | Aditya Birla Sun Life AMC

    06/2021 - 07/2023

    🎯 Key Accomplishments

    • Product Owner of over 10 customer-facing applications, supervising 20+ projects that cater to business needs and drive innovation.
    • Pioneered the innovative 'Omnichannel Campaign Initiative,' achieving a substantial 40% increase in customer outreach.
    • Spearheaded the "Omnichannel Experience" initiative, enabling customers to seamlessly resume their transactional journey across different platforms and driving 12% annual revenue increase.
    • Led a project in collaboration with the Sales team to automatically sync interaction remarks from a cloud dial application to CRM, boosting the Sales team’s productivity by 18%.
    • Initiated "ForHER" project, a women oriented investor education platform, in collaboration with the Investor Education business team from the ground up.
    • Collaborated with business stakeholders to understand their strategy regarding products, operations, and processes over 10 projects and implemented efficient solutions in collaboration with the IT team.
    • Improved chatbot responsiveness by 15% through the introduction of new intents and comprehensive training.
    • Initiated the "Query Suggestions" project, significantly enhancing the overall customer experience.
    • Implemented MIS dashboard reports to streamline month-on-month business generation tracking.
    • Prepared BRD, FSD, Business case reports, and related functional documents, created UAT plans, participated in the UAT testing cycle, maintained necessary artifacts before the production release of a feature, and obtained approvals for project Go-Live for over 10 projects.
    • Collaborated in strategic discussions with senior management to optimize products and boost business generation.

    🏆 Awards

    Machine Learning Engineer Intern | Tata Consultancy Services

    03/2021 - 05/2021

    Brief Overview

    • Developed a robust pipeline architecture encompassing data loading, dataset exploration, preprocessing (shuffling, grayscale conversion, local histogram equalization, normalization), and model training, evaluation, and testing.
    • Implemented Faster RCNN for precise traffic sign detection. Conducted comparative analysis, and selected VGGNet for traffic sign recognition, achieving an 85% accuracy rate

    Education

    🎓 Master of Science in Applied Data Science | University of Southern California

    08/2023 - Present

    CGPA: 4.0

    📖 Relevant Coursework

    • Big Data
    • Machine Learning
    • Data Science at Scale
    • Artificial Intelligence
    • Statistics & Probability
    • Data Mining
    • Research Methods and Analysis for User Studies

    🏆 Accomplishments

    • Graduate Teaching Assistant for DSCI552(Machine Learning for Data Science)
    • DEIA Senator at Viterbi Graduate Student Organization (VGSA) . Conducted 4 impactful events promoting diversity, equity, inclusivity, and accessibility.
    🎓 Bachelor of Technology in Computer Science and Engineering | Vellore Institute of Technology

    07/2017 - 06/2021

    CGPA: 9.38 (equivalent to 3.75)

    📖 Relevant Coursework

    • Software Engineering
    • Web Mining
    • Data Structures and Algorithms
    • Web Technologies

    🏆 Accomplishments

    • Secretary at Rotaract Club of VIT . Conducted 40+ events for whhich some of them are blood donation camp, old age home visits, self developement evetnts, SocioThon,(using tech for social good).

    Projects

    Cross Sell Insight
    Cross Sell Insight
    A web application that predicts customer's conversion to cross sell pitch.
    Tech Stack: Python, Flask, AWS (S3, EC2, ECR), Docker, MLflow, Github Actions
    PCB
    Crash Insights
    Detailed Exploration and Prediction of Car Accident Patterns in the United States.
    Tech Stack: Python, Tableau, PyTorch, Scikit-learn
    PCB
    Product Complaint Bucketization using NLP
    A NLP application developed to categorize user complaints into product buckets.
    Tech Stack: Python, NLP, AWS (S3, EC2), Tensorflow, Flask
    PCB
    Project ISQL
    Custom Query Language for local databases employing chunk-based data processing approach assuming limited main memory to ensure scalability.
    Tech Stack: Python