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Akash Sharma

Akash Sharma

Software Engineer

Mathura 85 · Excellent

About

B.Tech Computer Science graduate (CPI: 7.9/10) with hands-on experience in Java, Python, Machine Learning, SQL, and full-stack web development. Demonstrated ability to build and deploy end-to-end applications, train predictive ML models, and design RESTful backend services. Seeking a software engineering role to apply strong problem-solving skills and contribute to real-world client projects.

Skills & Expertise (30)

Python Advanced
8.0/10
4
Years Exp
Random Forest Advanced
8.0/10
4
Years Exp
Decision Tree Advanced
8.0/10
4
Years Exp
Logistic Regression Advanced
8.0/10
4
Years Exp
Google Colab Advanced
8.0/10
4
Years Exp
Jupyter Notebook Advanced
8.0/10
4
Years Exp
Matplotlib Advanced
8.0/10
4
Years Exp
scikit-learn Advanced
8.0/10
4
Years Exp
NumPy Advanced
8.0/10
4
Years Exp
Pandas Advanced
8.0/10
4
Years Exp
Model Evaluation Advanced
8.0/10
4
Years Exp
Classification Algorithms Advanced
8.0/10
4
Years Exp
Supervised Learning Advanced
8.0/10
4
Years Exp
Data Preprocessing Advanced
8.0/10
4
Years Exp
Git Advanced
7.0/10
4
Years Exp
VS Code Advanced
7.0/10
4
Years Exp
GitHub Advanced
7.0/10
4
Years Exp
MongoDb Advanced
7.0/10
4
Years Exp
Node.js Advanced
7.0/10
4
Years Exp
Express.js Advanced
7.0/10
4
Years Exp
REST APIs Advanced
7.0/10
4
Years Exp
SQL Intermediate
6.5/10
3
Years Exp
HTML Intermediate
6.0/10
3
Years Exp
CSS Intermediate
6.0/10
3
Years Exp
JavaScript Intermediate
6.0/10
3
Years Exp
OOPs Intermediate
6.0/10
3
Years Exp
DBMS Intermediate
6.0/10
3
Years Exp
SQL Query Optimization Intermediate
6.0/10
3
Years Exp
Java Intermediate
5.6/10
3
Years Exp
SDLC Intermediate
5.0/10
2
Years Exp

Work Experience

Developer

Home Security Alert System

Present - Present

Developed a full-stack web application monitoring 3+ real-time environmental data streams (earthquake alerts, weather conditions), reducing manual check time by ~80% through automated API polling. Integrated 2 external REST APIs (earthquake & weather services), handling JSON response parsing and conditional alert logic to notify users within 2 seconds of threshold breaches. Designed a MongoDB database schema to store 500+ alert records, implementing CRUD operations via Express.js with an average query response time under 150ms. Delivered a responsive frontend UI with a clean dashboard layout, reducing onboarding time for new users by eliminating complex setup steps.

Developer

Loan Approval Prediction System

Present - Present

Built a supervised ML pipeline to predict loan approval status on a dataset of 600+ applicants, achieving 85%+ classification accuracy using Logistic Regression and Decision Tree algorithms. Performed end-to-end data preprocessing on 13 features — handled missing values, encoded 4 categorical variables, and normalized numerical fields — improving model accuracy by 12% over the raw baseline. Compared 3 classification algorithms (Logistic Regression, Decision Tree, Random Forest) using cross-validation; selected the best model with an F1-score of 0.84. Visualized key findings using Matplotlib (5+ charts), uncovering that credit history alone accounts for ~65% of approval decisions, providing actionable insight into feature importance.

Education

B.Tech in Computer Science Engineering - GLA University

- 2026 · Afghanistan

Intermediate (Class XII) - Brilliant Public School

- 2022 · Afghanistan

High School (Class X) - Brilliant Public School

- 2020 · Afghanistan

Certifications

Full Stack Web Development

Coding Blocks · 2024

Six Sigma White Belt

SixSigma · 2024

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 5/5
Verified 5/5
Total Score 85/100

Profile Overview

Member sinceSep 2026

Availability Details

Visa Status

Citizen

Relocation

Open to Relocation