Data Science
A Beginner's Guide to Big Data
Have you ever wondered how much data you create every day just by using your computer, phone, or tablet? Explore the fascinating world of big data and its applications.
Read MoreI'm an adaptive Computer Science graduate who loves working with diverse technologies. From AI and data science to full-stack development, I thrive on solving complex problems-whether they're in code, strategy books like Robert Greene's works, or the patterns I find in mathematics.
I have a versatile technical foundation spanning Python, SQL, JavaScript, and frameworks like TensorFlow, PyTorch, React, and Django. My adaptive approach allows me to quickly master new tools and build innovative solutions-from APIs and ML models to full-stack applications. I approach each challenge like a strategic game, breaking down problems methodically.
At FormulaQ Solutions, Data Shastri, and DeepThought EduTech, I've delivered data-driven solutions that enhance business outcomes. When I'm not coding, you'll find me exploring psychological thriller anime, reading Indian mythology (Immortals of Meluha is a favorite), playing badminton or cricket, or planning my next adventure to Japan or Italy.
class YakshSharma:
def __init__(self):
self.role = "Adaptive Developer & Problem Solver"
self.skills = [
"Python", "ML/AI", "SQL",
"JavaScript", "DevOps"
]
self.interests = {
"anime": ["Psychological Thriller", "Fantasy"],
"books": ["Strategy", "Mythology", "Thriller"],
"sports": ["Badminton", "Cricket"],
"travel": ["Japan", "Italy", "Thailand"]
}
self.philosophy = "Find patterns everywhere"
def solve(self, problem):
return "Strategic solution with code"Diving into psychological thriller and fantasy anime with epic swordplay and magic systems. Strategic gaming helps sharpen my problem-solving skills.
From Robert Greene's strategic insights to chess tournaments, I love thinking several moves ahead. Also enjoy mythology-based fiction like Immortals of Meluha and mind-bending thrillers.
Active on the badminton and cricket fields. Also enjoy basketball and football-teamwork and strategy in motion.
Exploring diverse cultures and places. Dream destinations: Japan's tech & tradition, Italy's art, Thailand's beauty, and Germany's innovation.
Finding elegant patterns and solving complex problems. The intersection of logic, creativity, and pure problem-solving fascination.
Whether in code, books, or life-I'm always looking for patterns, connections, and the underlying logic that makes things work.
Developing robust middleware solutions and RESTful APIs using Flask and Django frameworks. Implementing CI/CD pipelines and managing DevOps workflows for seamless deployment.
Analyzed complex datasets to extract meaningful insights and created comprehensive reports for stakeholders. Implemented data visualization solutions.
Built custom ML models for tagging pharmaceutical chemicals in text documents, making it easier to analyze documents. Also created insightful Tableau dashboards that helped stakeholders make data-driven business decisions.!
Graduated with CGPA 9.2. Specialized in Data Structures, Algorithms, Machine Learning, and Software Engineering principles.
Your code compiles. But does it make sense?
An AI-powered CLI tool that goes beyond syntax - it catches the bugs your linter can't see. Hidden assumptions, missing failure modes, silent logic flaws, and edge cases your tests don't cover. Built in Go for speed, powered by LLMs for depth.
The Problem: Users are overwhelmed by choice - traditional filters fail to surface truly relevant content.
A collaborative filtering engine that learns from user behavior to predict preferences with high accuracy. Combines content-based and user-based approaches for robust recommendations.
The Problem: Recruiters spend 6 seconds per resume - candidates need a way to optimize before submitting.
An intelligent NLP pipeline that parses resumes, extracts key entities, matches skills against job descriptions, and generates actionable improvement suggestions.
The Problem: Drivers waste 20+ minutes finding parking - manual monitoring doesn't scale.
Real-time computer vision system that detects and tracks available parking spaces from camera feeds, providing instant availability data without expensive sensor installations.
The Problem: Radiologists are overburdened - early detection of lung disease saves lives but requires speed.
A deep learning CNN model trained on X-ray images to classify lung conditions, assisting medical professionals in early detection and triage of respiratory diseases.
Have you ever wondered how much data you create every day just by using your computer, phone, or tablet? Explore the fascinating world of big data and its applications.
Read More
Do you find yourself stuck when trying to solve a problem? Discover how design thinking can help you find innovative solutions to complex challenges.
Read MoreFeel free to reach out through any of these platforms. I'm always open to discussing new projects, creative ideas, or opportunities.
"The best way to predict the future is to create it through strategic action and continuous learning."