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Sri Charan

@sricharan

Process Data Engineer at Aurobindo Pharma Limited

Hyderabad

https://github.com/Sricharan96

Aurobindo Pharma LimitedDigital nest

Sri Charan is a highly analytical professional with a solid background in engineering and data science. He possesses strong programming skills in Python, SQL, and C++, coupled with expertise in machine learning, deep learning, and time series forecasting. Professionally, he has experience as a Process Data Engineer, focusing on technology transfer and process scale-up, complementing his technical skills in model development and data analysis.

Experience

Process Data Engineer IPDO

Aurobindo Pharma Limited

Apr 2021 - PresentHyderabad, India

Responsible for Technology Absorption and Technology Transfer of New products. Scaleup of New products from Research validation stage to Commercial validation stage. Capture and Explore previous research data of each upcoming projects to avoid patent issues.

Process Data Engineer Projects

Smilax Laboratories Limited

May 2019 - Apr 2021Hyderabad, India

Responsible for Scaleup and commercializing Cost Improvement Process of existing products. Implemented Automation to Existing products by streamlining procedure and Recipes (SCADA ,PLC & HMI). Prepared Capex reports for New Product ,CIP and automation projects.

Education

Digital nest

Program in Data Science

Statistical Research Methods, Advanced Machine Learning, Time Series Forecasting, Deep Learning, Natural Language Processing

Chaitanya Bharathi Institute of Technology

Bachelor of Technology in Chemical Engineering (B.TECH CE)

Jan 2014 - Jan 2018

Licenses & Certifications

Certified Data Scientist

Digital nest

• No expiration

Skills

Python
SQL
C
C++
Numpy
Pandas
Seaborn
Matplotlib
Plotly
Gensim
Scikit-Learn
Flask
Keras
Tensorflow
NLTK
SciPy
PowerBI
Tableau
Data Science
Machine Learning
Central Limit theorem
hypothesis testing
ANOVA
Chi-square
PCC
Bayes theorem
boxplot
Linear regression
Logistic regression
Decision tree
Random forest
Adaboost
Gradient boost
Support vector machine
KNN
Principal component Analysis
K-Means clustering
Naïve Bayes
SVM
Artificial Neural Network
Convolution Neural Network
Recurrent Neural Network
Named Entity Recognition
Count Vectorizer
Word 2 Vec
Transformers(BERT)
ARIMA
Time Series Forecasting