MUKESH MAURYA

Hyderabad 837-***-**** adflqt@r.postjobfree.com 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.

Contact this candidate