Pothabathula Sowjanya — AI/ML Engineer, Data Scientist

01 — About

Background

I'm a final-year B.Tech Computer Engineering (Data Science) student at Dadi Institute of Engineering and Technology, Visakhapatnam, with hands-on experience in machine learning, exploratory data analysis, and generative AI/LLM tooling — including the Anthropic Claude API and prompt engineering.

My work spans computer vision (MediaPipe, YOLOv8, OpenCV), classical ML (Scikit-learn), and business analytics (Tableau, Power BI). I've built and deployed end-to-end applications through an internship, an industry job-simulation, and independent project work.

B.Tech, Computer Engineering (Data Science)

Dadi Institute of Engineering and Technology (Autonomous), Visakhapatnam

CGPA 8.20 / 10.0Expected Jun 2027

Diploma, Computer Engineering

Mrs. A.V.N. College, Visakhapatnam

79.88%2023

02 — Experience

Where I've Worked

2025 · 2 Months

AI/ML & Data Science Intern

BrainoVision Solutions, Hyderabad, AP Hybrid

Developed and evaluated ML classification models using Scikit-learn, applying systematic feature engineering to improve prediction accuracy across real-world datasets.
Performed end-to-end EDA and preprocessing using Pandas, NumPy, Matplotlib, and Seaborn, producing stakeholder-ready visual reports.
Built Python data pipelines covering collection, cleaning, and model evaluation — from raw data to deployment-ready output.

2026

Data Analytics Consultant

Deloitte via Forage, Remote Job Simulation

Analyzed 500+ client records using forensic Excel techniques, identifying 3 high-risk operational areas driving a 15% revenue gap.
Designed 4-KPI interactive Tableau dashboards and delivered 5 structured business recommendations in a formal insights report.

03 — Projects

Selected Work

REAL-TIME WEBCAM INFERENCE

Driver Drowsiness & Distraction Detection System

Real-time driver monitoring using MediaPipe Face Mesh with EAR and PERCLOS metrics, plus head-pose estimation (solvePnP) and gaze tracking.
Integrated YOLOv8 for mobile-phone detection and a real-time attention-scoring alert mechanism running on a standard webcam.
Suitable for ADAS and fleet-management use cases.

PythonMediaPipe OpenCVYOLOv8Streamlit

92–96% ACCURACY

Phishing Website Detection — ML Classification App

Engineered URL-based features (HTTPS usage, domain age, redirects, length) for classification.
Trained Logistic Regression and Random Forest models achieving 92–96% accuracy.
Deployed an end-to-end Streamlit web app with an interactive prediction interface.

PythonScikit-learnStreamlit

100K+ ORDERS ANALYZED

E-Commerce Sales Analytics — Olist Dashboard

Processed 100k+ order records via SQL and built multi-tool dashboards tracking revenue, AOV, delivery SLA, and customer segmentation.
Identified late delivery as the primary cancellation driver, surfacing top revenue categories and high-value customer segments.

SQLPower BI TableauExcel

04 — Skills

Technical Toolkit

Programming

PythonSQL

AI / Machine Learning

Scikit-learnFeature EngineeringClassification EDAMediaPipeYOLOv8OpenCV

Generative AI / LLM

Anthropic Claude APIRAG PipelinesPrompt Engineering LLM IntegrationAgentic AIMCP

Analytics & Visualization

TableauPower BIExcel (Advanced) MatplotlibSeaborn

Libraries & Frameworks

PandasNumPyStreamlit

Cloud & Tools

AWSGoogle Cloud AIGitGitHub JupyterVS CodeGoogle ColabHuggingFace

05 — Certifications

Continuous Learning

13+ certifications earned since 2024

Claude with the Anthropic APIAnthropic · 2026

Foundations of Prompt EngineeringAWS · Jun 2026

Introduction to Large Language ModelsGoogle Cloud · Jun 2026

Introduction to Generative AIGoogle Cloud · Jun 2026

Introduction to Responsible AIGoogle Cloud · Jun 2026

Business Analyst CertificationCelonis · Nov 2025

RACE to Certification – Data Science ProfessionalOracle

RPA Business Analyst Associate, Grade OUiPath

Google Data Analytics Professional CertificateGoogle

Data Analytics Job SimulationDeloitte via Forage