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Aakash Rawat

Aakash Rawat

Data Analyst

Meerut, U.P, India
80
Profile Score

About

Motivated Data Analyst with a solid foundation in data science and big data analytics, experienced in building innovative solutions that combine machine learning, computer vision, and cloud technologies. Skilled in Python, SQL, and visualization tools such as Tableau, with hands‑on expertise deploying Hadoop ecosystems on AWS and developing facial recognition systems using CNNs and OpenCV. Adept at extracting insights from complex datasets, optimizing workflows, and delivering data-driven strategies to enhance operational efficiency. Committed to applying analytical skills and technical knowledge.

Skills & Expertise (33)

Python Advanced
8.2/10
5
Years Exp
TensorFlow Advanced
7.9/10
4
Years Exp
AWS EC2 Advanced
7.6/10
3
Years Exp
HDFS Seaborn Computer Vision Real-Time Video Processing Machine Learning Deep Learning Hadoop NumPy MapReduce HBase Hive macOS Windows Tableau Data Visualization Matplotlib PySpark Pandas Haar Cascade YOLOv8 Keras OpenCV Firebase MySQL WorkBench Anaconda Eclipse VS Code SQL HiveQL Java

Work Experience

Developer

Personal Project

Present - Present

Created facial recognition software using OpenCV and Haar Cascade for identification and authentication. Designed for security and user-friendliness, implementing seamless access control. Achieved 98% accuracy, reducing unauthorized access and enhancing security protocols.

Developer

Personal Project

Present - Present

Developed a partial face recognition system using Convolutional Neural Networks (CNNs) to identify individuals from incomplete facial images. Implemented feature extraction techniques using deep CNN layers to match partial input with a full-face dataset. Designed for real-world surveillance scenarios where full face visibility is not guaranteed. Achieved robust accuracy despite occlusions, improving authentication reliability in constrained environments.

Developer

Personal Project

Present - Present

Deployed a fully functional Hadoop ecosystem (HDFS, YARN, MapReduce, Hive) on multiple EC2 instances on Amazon Web Services (AWS). Configured master-slave architecture with namenode and datanodes using Ubuntu-based virtual machines. Enabled distributed storage and processing of large-scale datasets to simulate real-world big data pipeline workflows. Secured inter-node communication and optimized performance through tuning core-site and hdfs-site configurations. Demonstrated horizontal scalability and high-availability through multiple data node provisioning.

Education

Bachelor of Technology in Computer Science Engineering (Data Science) - Dr. A.P.J. Abdul Kalam Technical University

- 2025 · Afghanistan

Post Graduate Diploma in Big Data Analytics - Centre for Development of Advanced Computing (CDAC-Bangalore)

- 2025 · Afghanistan

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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 0/5
Verified 5/5
Total Score 80/100

Profile Overview

Member sinceFeb 2026

Availability Details

Visa Status

Citizen

Relocation

Depends on Offer

Skills (33)

Python TensorFlow AWS EC2 HDFS Seaborn Computer Vision Real-Time Video Processing Machine Learning Deep Learning Hadoop +23 more