Aver
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Professional Experience

10+

Projects Completed

02+

Years Project Work

80K+

Lines of Code

15+

Articles Published

Recent Works

Projects — 18
Blood Group Detection
Image Processing (CNN) arrow

Blood Group Detection

Using Deep Learning (CNN) to Predict Blood Groups from Fingerprint Images

Sign Language Recognition System
Computer Vision arrow

Sign Language Recognition

Bridging communication gaps with AI-driven sign language recognition system

BigMart Sales Prediction
Regression arrow

BigMart Sales Prediction

Forecasting BigMart Retail Sales Using Regression Models in Machine Learning

Air Quality Forecasting
Time Series Analysis arrow

Air Quality Forecasting

Utilizing Machine Learning to Predict and Monitor Air Quality Levels

All Works

Process Delivers Value

The approach

01 — Strategy

In this phase, we define the objectives and scope of the machine learning or deep learning project. What problem are we solving, and what impact do we aim to achieve?

02 — Execution

Based on the defined strategy, data collection and preprocessing begin. Models are developed, tested, and validated using iterative cycles to ensure accuracy and reliability.

03 — Launch

This phase involves deploying the model into production. The model's performance is monitored, and feedback loops are established to continuously improve the solution.

GitHub Contributions

Open Source
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Certifications

Professional Development
TensorFlow

Machine Learning Specialization

Stanford University

In-depth mastery of machine learning algorithms and real-world implementations.

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AWS

Mathematics for ML Specialization

Imperial College London

Thorough grasp of key mathematical concepts underpinning machine learning algorithms.

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Deep Learning

Introducing Generative AI with AWS

AWS & Udacity

Comprehensive introduction to generative AI techniques and AWS integration.

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My weekly thoughts

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