Mohd Junaid

Data Scientist
New Delhi, IN.

About

Dynamic Data Scientist leveraging expertise in Python, machine learning, and statistical analysis to transform complex datasets into actionable insights. Proven ability to develop predictive models, manipulate data effectively, and apply Generative AI to drive data-driven decision-making. Adept at collaborating with cross-functional teams to deliver high-impact analytical solutions and quickly adapt to new technologies.

Work

Marpu Foundation
|

Talent Acquisition

Uttar Pradesh, India

Summary

Managed end-to-end talent acquisition processes, strategically sourcing and onboarding high-potential candidates to meet organizational needs.

Highlights

Strategically sourced and screened a diverse pool of high-potential candidates, successfully aligning talent with critical organizational needs.

Managed end-to-end recruitment processes, including interview coordination and seamless onboarding, enhancing candidate experience and operational efficiency.

Developed and maintained a robust pipeline of qualified applicants across multiple roles, significantly reducing time-to-hire for future positions.

Collaborated cross-functionally with department heads to define staffing requirements and optimize hiring strategies, contributing to effective talent acquisition outcomes.

Education

Prepleaf by Masai
Uttar Pradesh, India

Program

Data Science

Mahatma Jyotibe Phule Rohilkhand University
Bareilly, Uttar Pradesh, India

Bachelor

Commerce

Languages

English

Certificates

Certificate of Accomplishment

Issued By

HackerRank

Provisional Certificate of Participation

Issued By

Prepleaf by Masai

Certificate of Selection

Issued By

Marpu Foundation

Skills

Technical Skills

Probability, Statistics, MySQL, Excel, Power BI, Python, Pandas, Numpy, Machine Learning, NLP, AI, LLM.

Soft Skills

Effective Communication, Teamwork, Problem Solving, Time Management, Attention to Detail.

Projects

Scam Mail Prediction

Summary

Designed and implemented a machine learning model for scam mail prediction, employing NLP and Python to analyze text data and optimize performance.

Uber Data Analysis

Summary

Executed a comprehensive data analysis project using Python libraries to process, interpret, and visualize Uber datasets, informing design and implementation of project features.

blinkit Analysis

Summary

Developed an interactive Power BI solution for blinkit, visualizing key business metrics from raw data to generate actionable insights.