HELLO, I'M

SANABOYINA AKSHARA

Data Analyst & Full-Stack Developer.

I am a Computer Science and Engineering graduate passionate about transforming data into meaningful insights and building practical web applications. With experience in Python, SQL, Power BI, React.js and Node.js, I enjoy developing analytical solutions, exploring machine learning applications and creating user-focused software.

Core Competencies • Dual Specialization

PythonSQLPower BIPandasNumPyReact.jsNode.jsMachine Learning

EXPLORE MY PROJECTS DOWNLOAD RESUME

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Sanaboyina AksharaData Analyst • Full-Stack Dev

BITS '26

Dual Career Architecture

Two Professional Career Tracks

Positioned with balanced depth across Data Analytics and Full-Stack Software Engineering. Both tracks represent dedicated project execution, technical tool mastery, and hands-on implementation.

Track 01

Data Analytics

“Explore my work in Python, SQL, data cleaning, exploratory data analysis, data visualization, Power BI and machine learning applications.”

Core Technologies & Libraries

PythonSQLPandasNumPyPower BIExcelMatplotlibSeabornScikit-learn

EXPLORE DATA ANALYTICS PROJECTS

Track 02

Full-Stack Development

“Explore my development work involving frontend interfaces, backend applications, REST APIs, database integration and full-stack web application development.”

Core Technologies & Architecture

React.jsNext.jsNode.jsExpress.jsMongoDBSQLREST APIs

EXPLORE DEVELOPMENT PROJECTS

Production & Research Portfolio

Featured Engineering & Analytics Projects

Four comprehensive project implementations spanning academic workflow systems, machine learning fraud analysis, concurrent exam platforms, and computer vision.

Explore All 4 Projects

Data Analytics + Full-Stack DevelopmentVerified Project

FPAMS ARCHITECTURE

Benchmark: 1,000 Pts Normalization

Multi-Stage Hierarchical Approval Engine

1. Faculty Self-AppraisalSubmission • Deduplication

2. HOD Review & AuditVerification Stage

3. Dean & Principal SignoffFinal 1000 Pt Scorecard

Stakeholders9 Distinct Roles

Scoring Scale0 - 1000 Marks

Audit Records100% Traceable

Student FeedbackDe-duplicated

Illustrative Architecture SchematicVerified Project Feature Map

Faculty Performance Analysis & Management System (FPAMS)

An academic performance management system designed around rule-based workflows, multi-stage approvals, and structured performance evaluation across nine stakeholder roles.

Verified Stack

Data AnalyticsWorkflow EngineDashboard AnalyticsRule-based ScoringRelational Architecture

10 Key FeaturesView Project Case Study

Data Analytics + Machine LearningVerified Project

TRANSACTION ANOMALY EDA

Scikit-learn Classification Pipeline

Exploratory Pattern & Imbalance Distribution

Class 0: Legitimate TransactionsMajority Baseline (99.8%)

Class 1: Fraudulent Patterns (Anomalies)Isolated Minority (0.2%)

EDA MethodologyPandas • Seaborn

ModelingSupervised Classification

Evaluation FocusAccuracy Improvement

Illustrative Analytical Model FlowVerified Project Feature Map

Credit Card Fraud Detection and Analysis

An analytical project focused on exploring transaction data, identifying fraudulent transaction patterns, and applying classification models to support fraud detection.

Verified Stack

PythonPandasNumPyScikit-learnMatplotlib+2 more

6 Key FeaturesView Project Case Study

Full-Stack DevelopmentVerified Project

REAL-TIME EXAM ENGINE

MERN Stack • REST APIs

State Synchronization • Auto-Save Pipeline

Live TimerServer Sync

Auto-SavingContinuous Cache

Auto-SubmitZero Data Loss

AnalyticsInstant Report

Runtime Stack:React.js • Node.js • Express.js • MongoDB

Illustrative Portal Lifecycle SchematicVerified Project Feature Map

Real-Time EAMCET Mock Test Examination Portal

A web-based examination platform designed to support real-time examination data processing, concurrent multi-user sessions, automatic submission, and analytics.

Verified Stack

React.jsNode.jsExpress.jsMongoDBREST APIs

6 Key FeaturesView Project Case Study

Machine Learning + Computer VisionVerified Project

OPENCV REAL-TIME PIPELINE

Live Webcam Classification

Feature Extraction • Video Frame Processing

1. Video Feed IngestionWebcam Stream • Frame Scaling

2. Facial Region ExtractionFeature Landmark Isolations

3. Emotion ClassificationIterative Accuracy Tuning

Vision Core:Python • OpenCV Feature Extraction

Illustrative Vision Pipeline SchematicVerified Project Feature Map

Facial Emotion Detection System

A real-time computer vision system developed using Python and OpenCV to process webcam video streams and classify human facial emotions.

Verified Stack

PythonOpenCVMachine LearningComputer VisionFeature Extraction

5 Key FeaturesView Project Case Study

Technical Arsenal

Categorized Technical Skills

Organized into clear professional domains. Verified technical experience without arbitrary skill percentages.

PROGRAMMING

PythonJavaSQL

DATA ANALYTICS

PandasNumPyPower BIExcel

DATA VISUALIZATION

MatplotlibSeabornPower BI

MACHINE LEARNING

Scikit-learn

View Full Skill Breakdown (8 Domains)

Academic Rigor

B.Tech Computer Science & Engineering

Graduate in 2026 from Baba Institute of Technology and Sciences with an outstanding academic CGPA of 8.13/10.

Symposium & Quiz Honors

First Prize: Paper Presentation — Technical Symposium

Second Prize: Technical Quiz

View Education, Training & Achievements

ExceedIQApril 2023 – July 2023

MERN Stack Trainee

Gained hands-on training in full-stack web development, building applications that consume and serve structured data through REST APIs.

Full-Stack

Internshala TrainingsApril 2025 – June 2025

Machine Learning Trainee

Built and evaluated supervised machine learning models, applying data preprocessing, feature engineering and performance tuning using Scikit-learn.

Machine Learning

Novitech R&DJune 2025 – July 2025

Data Analytics & Visualization Trainee

Analyzed datasets and built visual reports using Python, Pandas, NumPy, Power BI and Excel.

Data Analytics

Infyntrek SystemsApril 2026 – June 2026

Data Analytics & Visualization Trainee

Analyzed datasets and developed visual reports using Python, Pandas, NumPy, Power BI and Excel to communicate insights.

Data Analytics

Open for Placement & Project Opportunities

Looking for a Data Analyst or Full-Stack Engineer?

I am eager to contribute my analytical problem-solving, Python and SQL data processing, and full-stack web development skills to forward-thinking engineering teams.

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