Hello!

I'm Someet Singh



Associate Consultant

Name: someet Singh

Job Role: Associate Consultant

Experience: 2.5 Years

Address: Delhi, India

Skills

Python 95%
Machine Learning & Deep Learning 90%
Natural Language Processing 88%
Cloud Computing (Azure/AWS/GCP) 85%
Data Analytics & Big Data Tools 82%
SQL/NoSQL Databases 90%
Git, Docker, and MLOps 85%

About

About Me

I'm an M.Tech Data Science graduate from Amity University, skilled in Python, Machine Learning, Deep Learning, and Cloud Technologies like Azure, AWS, and GCP. My background includes a strong foundation in Computer Science with a B.Tech from Galgotias University. I hold Microsoft certifications in Azure AI, Data Engineering, and Data Science. Notably, I secured first place in SIH 2022 (ISRO) for a project on cyclone intensity estimation using deep learning. My expertise spans from theoretical knowledge to practical applications, making me a versatile candidate ready to tackle complex challenges in the tech industry..

  • Profile: Data Science & Analytics
  • Domain: Banking, Ecommerce, Retail, Healthcare & IoT
  • Education: Masters of Technology
  • Language: English, Hindi
  • BI Tools: Microsoft Power BI & Tableau
  • Other Skills: Cloud, PySpark, ELK, Git, JIRA, Kafka & GenAI
  • Interest: Traveling, Travel Photography, Teaching

0 +   Projects completed

LinkedIn

Resume

Resume

Seasoned Associate Consultant with 2+ years of experience driving business strategies through data-driven insights. Proven expertise in data science, statistical analysis, machine learning algorithms and project management.

Experience


OCT 2024 - Present

Manager (Network-digitization)

Airtel

Designing, developing, and deploying next-generation network automation solutions to optimize provisioning, change management, and operational efficiency in the Network Engineering domain. Enhance network reliability, reduce downtime, and improve customer experience with cutting-edge automation technologies using AI/ML.

Jun 2022 - OCT 2024

Associate Consultant

Audax Labs

At Audax Labs, I've specialized in OCR technologies, enhancing data accessibility and process efficiency through innovative solutions. My contributions include:

  • Implemented OCR systems for accurate text extraction from images and scanned documents, improving data searchability and accessibility.
  • Integrated OCR solutions into existing software platforms, streamlining document processing workflows and reducing manual efforts.



Education


2015-2019

Bachelor of Technology

Galgotias University
Computer Science

Grade: First class. (6.67 CGPA)

2020-2022

Amity University

Masters of Technology
Data Science

Grade: First class distinction. (9.29 CGPA)

Download CV

Projects

Projects

Below are the Project Portfolio (NLP, CV , ML and GenAI)

Intelligent OCR + NER

Intelligent OCR coupled with NER forms a powerful combination for extracting structured information from unstructured text data.

STT + Diarization

STT + Diarization integrates Speech-to-Text technology with speaker identification, improving transcription accuracy. It's ideal for meeting transcriptions, call center analytics, and voice interfaces

Vehicle Detection and Counting System (YOLO-NAS)

a pre-trained YOLO model and the SORT algorithm to detect, track, and count vehicles in a video stream.


Vehicle Detection and Tracking with Heatmap Overlay

Detects and tracks vehicles in a video stream, visualizing their presence with a heatmap. Uses a pre-trained YOLO model and the SORT algorithm.

SMART ATS

Smart ATS is a Streamlit app using Google's GenerativeAI to evaluate and improve resumes against job descriptions, providing matching percentages, missing keywords, and profile summaries.

Intelligent Video Surveillance

This study compares YOLOv4 and YOLOv3 models for early detection of handheld weapons, crucial for preventing crimes. Deep neural networks struggle with small objects like handguns, hence the comparison.

Fault in wafers detection

Using sensor inputs for different semiconductor wafers, the goal is to create a machine learning model to predict if a wafer is functional or needs replacement. The classes are +1 and -1.

DeepCNN for Tropical Cyclone intensity estimation

Developed a Deep CNN for estimating Tropical Cyclone intensity using frequent INSAT-3D IR images, and a web app for visualizing the imagery. This method is useful during early cyclone formation when determining an accurate center is challenging.

Cement Strength Prediction

This project developed a model to predict cement strength from input parameters, improving efficiency and accuracy over traditional empirical testing methods. This is crucial for determining the durability and load-bearing capacity of structures.

0 Achievements
0 Projects
0 Certifications
0 Cups of coffee
0 Daily Screen time

More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Delhi, India

Contact Number

+91-9711132879

Email Address

someetsingh3@gmail.com

Download Resume

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