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MOHD SHAANUR RAHMANMR

MOHD SHAANUR RAHMAN

@mohdshaanurrahman

Data Scientist at BEPEC Solutions

Bangalore, INDIA

linkedin.com/in/mohd-shaanur-rahman-2a5566137

BEPEC SolutionsDr. A.P.J. AbdulKalam Technical University

Data Scientist with over 1 year of experience specializing in the full data science lifecycle, including data mining, cleaning, and statistical modeling. Proficient in implementing large-scale Machine Learning Algorithms using Python, covering areas like NLP, predictive modeling, and feature engineering. The candidate has experience managing multiple projects and delivering resourceful solutions to real-world business problems.

Experience

Data Scientist

BEPEC Solutions

Full-timeFeb 2021 - PresentBangalore

Trained various Machine Learning classification algorithms (Logistic Regression, Decision Trees, Naïve Bayes, SVM, KNN). Performed data screening, data cleaning, and feature engineering using Python libraries (Pandas, Numpy, Sklearn, Matplotlib, Seaborn). Utilized techniques like Principal Component Analysis and L1/L2 Regularization to address overfitting. Managed the entire project lifecycle, including Design, Development, Deployment, and Testing. Performed analysis such as Multiple Regression, Logistic Regression, and K-means Cluster analysis.

Business Development Trainee

BYJU’S

Oct 2020 - Dec 2020

Began in an individual contributor's role, helping spread the Byju's way of Learning through phone calls and conducting video conferencing calls with clients.

Business Development Associate

Trinity Ventures

Jul 2020 - Oct 2020Noida Extension

Oversaw the promotion of property sales, connected with prospects and clients, and coordinated the closing of property deals, ensuring vital documents were signed and payments received.

Education

Dr. A.P.J. AbdulKalam Technical University

B.Tech.

Mechanical Engineering

Skills

Machine Learning
Python
Statistics
Natural Language Processing (NLP)
SQL
Data Visualization
Data Cleaning
Predictive Modelling
Feature Engineering
Clustering
Classification
Regression Analysis