Summary
Overview
Work History
Education
Skills
Projects
Timeline
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RAJINIKANTH KAKARLA

Graduate Student
Hyderabad

Summary

M.Tech Computer Science and Engineering candidate with a B.Tech specialization in Artificial Intelligence and Machine Learning, experienced in Python-based machine learning, SQL analytics, and data visualization. Built an explainable credit-risk prediction application, analyzed 100K+ product event logs, and developed business intelligence dashboards. Interested in applying AI engineering, analytical problem-solving, and model evaluation to generative AI and enterprise decision science solutions.

Overview

1
1
year of professional experience

Work History

Shipping & Delivery Support Associate

Amazon
Remote
09.2024 - 04.2025
  • Automated recurring data-processing tasks using Excel macros and dynamic lookup tables, reducing average exception-resolution time from 4 minutes to 2.5 minutes per case.
  • Monitored shipment lifecycle metrics and operational data to track service-level agreement (SLA) compliance, maintaining reported compliance levels of 80%–95%.
  • Investigated recurring logistics exceptions, coordinated issue resolution, and supported timely service delivery in a high-volume operational environment.
  • Worked within established workflows and team processes to prioritize cases, maintain data accuracy, and improve turnaround time.

Project Intern

Future Wireless Communication IIT Hyderabad
Hyderabad, India
11.2023 - 04.2024
  • Developed and integrated embedded-system components across ESP32, ARM, and Field-Programmable Gate Array (FPGA) platforms.
  • Implemented real-time telemetry web-server functionality using Serial Peripheral Interface (SPI), Wi-Fi, and Bluetooth communication protocols.
  • Performed hardware-software debugging and investigated communication and timing issues to support reliable system operation.
  • Collaborated on technical implementation and troubleshooting across embedded hardware and software components.

Education

M.Tech - Computer Science Engineering

Dr. SGIT, JNTUK
Markapur, India
04.2001 -

B.Tech - Computer Science And Engineering (AIML)

Malla Reddy College of Engineering And Technology
Hyderabad, India
04.2001 -

Skills

    Programming and Data Analysis: Python, SQL, Pandas, NumPy, Microsoft Excel
    Machine Learning: Scikit-learn, Machine Learning Algorithms, Feature Engineering, Class Imbalance Handling, Model Interpretability
    Generative AI Fundamentals: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) Fundamentals, Natural Language Processing
    Data Engineering and Analytics: Data Cleaning, Extract-Transform-Load (ETL), Event-Log Modeling, Cohort Analysis, Key Performance Indicators (KPIs)
    Visualization and Business Intelligence: Microsoft Power BI, Tableau, DAX, Power Query
    Application Development: Flask, Model Deployment Fundamentals

Projects

Explainable AI Credit Default Predictor

  • Developed a machine learning application for credit-default risk prediction using Python and Scikit-learn, with a Flask interface for risk-score delivery.
  • Applied Synthetic Minority Over-sampling Technique (SMOTE) to address class imbalance and SHapley Additive exPlanations (SHAP) to explain feature-level contributions to predictions.
  • Connected model predictions with interpretable explanations to support transparent, evidence-based lending assessments.

AI SaaS Product Analytics and Retention Analysis 

  • Engineered modular SQL analytics pipelines to process more than 100,000 product event logs and examine user engagement and retention patterns.
  • Identified a 33% Day-30 retention drop-off and developed a projected 12% improvement opportunity in Day-90 retention.
  • Built interactive Tableau cohort heatmaps to communicate retention trends and support data-driven product decisions.

Airbnb Market Analytics Dashboard 

  • Designed a star-schema data model and implemented data transformation workflows using Power Query.
  • Developed a five-page Power BI dashboard with Data Analysis Expressions (DAX) measures for Average Daily Rate (ADR) and Revenue per Available Room (RevPAR).
  • Presented market and pricing insights through interactive visualizations to support host revenue analysis.

Timeline

Shipping & Delivery Support Associate

Amazon
09.2024 - 04.2025

Project Intern

Future Wireless Communication IIT Hyderabad
11.2023 - 04.2024

M.Tech - Computer Science Engineering

Dr. SGIT, JNTUK
04.2001 -

B.Tech - Computer Science And Engineering (AIML)

Malla Reddy College of Engineering And Technology
04.2001 -
RAJINIKANTH KAKARLAGraduate Student