MUKESH MAURYA
Hyderabad 837-***-**** **********@*****.*** https://www.linkedin.com/in/mukesh108/
SUMMARY
Data Science and Analytics Enthusiast with the potential to leverage Data for better insights and Business Profitability. Proficient in Analysis, Visualization, Statistics, Machine Learning Algorithms, Predictive Modelling, Natural Language Processing, Deep Learning etc. Completed various online courses, certifications etc. for having better understanding of Business Problems and applications.
SKILLS
Python:
Libraries: NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, NLTK, TensorFlow, Keras etc.
SQL:
Hacker Rank -Gold Badge
Machine Learning:
Linear and Logistic regression, KNN, Decision Tree, Recommendation System, Random Forest, K -means Clustering etc.
Natural Language Processing
Deep Learning
CNN, ANN, RNN.
Statistics
MS Excel
MS PowerPoint
Miscellaneous (Elementary Proficiency):
Tableau, MS Office, Minitab, MATLAB, C++, HTML, Image Processing and analysis using OpenCV, Data Augmentation.
PROJECTS (Selected)
Apple Stock Price Prediction and Forecasting:
Feature Engineering, Time-Series Forecasting, LSTM-Deep Learning.
Libraries: NumPy, Pandas, Seaborn, Sklearn, Keras
Github link: https://github.com/mukeshhm20/Apple_Stock_price_Prediction-Forecasting
Model to Predict whether a User will click an advertisement:
Exploratory Data Analysis, Feature Engineering, Logistic Regression
Libraries: NumPy, Pandas, Seaborn, Sklearn
Github link: https://github.com/mukeshhm20/Predict-whether-user-will-click-an-advertisment
Fake News Classifier:
Feature Engineering, Word Embedding, Regex, Text Analytics, Natural Language processing, ANN-Deep Learning.
Libraries: NumPy, Pandas, Seaborn, Sklearn, NLTK, Keras
Github link: https://github.com/mukeshhm20/Fake_news_Classifier
WORK EXPERIENCE
Dr. Reddys Laboratories, Hyderabad June 2018- Present
Process Engineer
Led a transition from Batch to Semi continuous process for Solvent Recovery system, by optimising and analysing the Quantity and Quality of distillate, thereby reducing process cycle time by 60 % and reducing steam cost by 30 %
End-to-end Data collection and analysis of all API’s by Minitab Statistical Analysis to ensure product and quality parameters within control limits.
LEADERSHIP
Overall Coordinator for Vedic Oasis of Inspiration Culture and Education (VOICE). Managed a team of more than 30 members for 2017
Enacted as class representative 7th, 9th, 10th, 12th
Kho-Kho Team Captain at Interschool Meet.
EDUCATION
Bachelor of Technology: National Institute Of Technology -Warangal April 2018
B. Tech, Chemical Engineering, CGPA : 7.95
Runners up of TechFresh’14 (Technical Competition for first year students in NIT Warangal.)
High School/Intermediate: I.D.U.B.S College, Mumbai May 2014
Class 12th: MHRD Scholarship ‘INSPIRE’ for being in Top 1 % of state students
Computer Science with PCM
Class 10th: School topper with 94 % and Scholarship Holder.
CERTIFICATIONS
Udemy:
Data science and Machine Learning with Python
Complete SQL Bootcamp
Statistics and Business Analysis Bootcamp
LinkedIn :
Excel Data Visualization.
Deep Learning Essentials
NLP with Python.
Analytics Vidhya (Currently Ongoing):
Machine Learning starter Certification Program
Dphi (Currently Ongoing):
Deep Learning Certification Program.
ADDITIONAL SKILLS
Interpersonal: Analytical thinker, Team Builder, Problem Solving, Fast Learner, Adaptable and committed.
Volunteer Activities: Student Mentor at VOICE, INC. for past 4 years
Hobbies: Reading Wisdom books, Playing Classical instruments like Mridangam and Kartals.