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 3.95. 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 for over 10 customer-facing applications, supervising 20+ projects that cater to business needs and drive innovation
    • Spearheaded the Omnichannel Campaign Initiative, achieving a 17% boost in click-through rates and a 40% increase in customer outreach, earning the CEO award for Functional Excellence - Individual
    • Improved Sales team productivity by 18% through automation of CRM interaction syncing from cloud dial application
    • Led Omnichannel Experience initiative, enabling seamless cross-platform transactions and driving a 12% increase in purchase registrations in Q2 2022
    • Enhanced chatbot's intent recognition by 15% through performance monitoring bot retraining and scripts for ensuring data labeling
    • Utilized A/B testing to improve the quick suggestions feature in the chatbot, resulting in a 19% increase in engagement
    • Led the 'ForHER' project, a women-focused investor education platform, generating 200+ customer leads during the first 6-month pilot in collaboration with the Investor Education team
    • Developed dashboards covering revenue generation, App usage metrics and NPS, streamlining month-on-month tracking across 7 applications
    • Collaborated with stakeholders on 10+ projects to align IT solutions with business strategy, products, and processes

    🏆 Awards

    Machine Learning Engineer Intern | Tata Consultancy Services

    03/2021 - 05/2021

    Brief Overview

    • Developed and productionalized a machine learning model for real-time traffic sign detection and recognition using TensorFlow, achieving an 85% accuracy rate.
    • Conducted comparative analysis of various models, selecting and optimizing the most effective architecture for the project's requirements.
    • Implemented a basic model retraining framework using TensorFlow Extended (TFX) to monitor and maintain model performance over time.
    • Contributed to technical documentation detailing the development process and key findings for future reference.
    • Collaborated with cross-functional teams by providing machine learning expertise and assisting in the integration of models into production systems using Docker and Git for version control.

    Education

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

    08/2023 - Present

    CGPA: 3.95

    📖 Relevant Coursework

    • Big Data
    • Machine Learning
    • Data Science at Scale
    • Artificial Intelligence
    • Statistics & Probability
    • Data Mining
    • User Research Study
    • UX Strategy

    🏆 Accomplishments

    🎓 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