About Me
I hold a B.Tech in Electronics & Communication and a Master’s in Digital Communication, which laid the foundation for my professional journey. Over the years, I gained valuable experience in teaching, project coordination, and HR—each role sharpening my ability to analyze, communicate, and adapt to challenges.
Beyond the technical side, I’m passionate about writing, teaching, storytelling, and creativity, often channeling my thoughts and experiences into words that inspire and connect. After taking a career break for family, I am now returning with renewed focus and determination.
I chose data science not because it is an emerging field, but because I discovered it to be the perfect intersection of my skills, experiences, and passion. Through self-reflection, I realized that working with data, solving problems, and creating impact is what excites me the most. I truly love data science—because doing what you love is not only fulfilling, it’s also where you create your best work. For me, data science is not just a career choice; it is a path that feels naturally aligned with who I am and what I genuinely enjoy.
“Transforming thoughts, experiences, and data into knowledge, solutions, and inspiration for the world.”
Professional Highlights
- ~3 years of teaching experience, mentoring students and fostering critical thinking
- Project coordination experience, managing academic and technical projects successfully
- HR exposure, which enhanced communication, teamwork, and stakeholder management skills
- Current focus: Diploma in Data Science, hands-on learning in Python, Machine Learning, Deep Learning, and Data Visualization
Achievement Highlights
Research Publications
Designing a Dynamic Pricing Engine for E-Commerce
This research explores dynamic pricing strategies used by Amazon and Uber, integrating regression and reinforcement learning to optimize profits and customer satisfaction.
PublishedComparative Study of Machine Learning Algorithms
An in-depth evaluation of classification and regression models across benchmark datasets to identify accuracy-performance tradeoffs.
PublishedA Comparative Survey of Python and R for Data Science
A detailed comparison of Python and R focusing on libraries, execution speed, and ease of use for statistical and analytical tasks.
PublishedKaggle Achievements
Titanic — Machine Learning from Disaster
Built predictive classification models using logistic regression, decision trees, and ensemble learning to identify survival probabilities of passengers.
ParticipatedHouse Prices — Advanced Regression Techniques
Predicted housing prices using feature engineering, regularization, and advanced regression algorithms for accurate market forecasting.
ParticipatedDigit Recognizer — Computer Vision Challenge
Implemented a CNN model using TensorFlow to classify handwritten digits from the MNIST dataset, achieving high validation accuracy.
ParticipatedCourses & Certifications
Diploma in Data Science
Currently pursuing at Asquare Technologies, Kochi. Covers statistics, machine learning, and practical data analysis projects.
View CertificateIBM Data Science Professional Certificate
Comprehensive program with 12 modules covering Python, SQL, Data Analysis, Visualization, and Machine Learning.
View CertificateGenerative AI for Data Science
Certification by Microsoft. Explore diverse applications of GenAI, including data augmentation, feature engineering, anomaly detection, and generative modeling.
View Certificate