Home Team Dr. Manchala Nagesh

Dr. Manchala Nagesh

Qualification:

  • M.Sc (Mathematics), (Ph.D), SET, MISTE
  • Founder, Data Scholar  Pvt  Ltd. (Startup)

Designation: 

Executive Member


Affiliation:

  • Working as Assistant Professor  in CMR TECHNICAL CAMPUS, Medchal from 2011 to  till  date.
  • Worked as Assistant Professor  in Mathematics in Netaji Engineering College, Nalgonda  from 2006  to 2011.

Profile

Dr. Manchala Nagesh did a lot of research in the following fields- Forecasting Time Series Models using Machine Learning Algorithms. Coming to his professional skills, he has knowledge on Python, R, Pandas, Numpy, Scikit-learn, PHP, HTML, JavaScript, CSS, MS-Excel, Power BI, etc. 

Software Skills:
  • Expertise in Statistical Methods: ARIMA, SARIMA, Exponential smoothing  
  • Machine Learning Algorithms: Linear Regression, Logistic Regression, Polynomial Regression, Lasso, Ridge Regression, Neural Networks, LSTM models, K-mean algorithms, Decision Trees, Naive Bayes algorithm, PCA (dimensionality reduction), SVM
Certifications:
  • Certified in DATA SCIENCE by IBM  
  • Certified in IT PROFESSIONAL by Google  
  • Certified in IT AUTOMATION WITH PYTHON by Google

Projects:

 

  1. Covid Data Analysis

Analyzing COVID-infected patients’ data in Telangana state of India in the year 2020 using statistical methods ARIMA and Neural Networks (multi-layer perceptron model using R Package). The project involved checking stationarity in data, observing trends and patterns, making data stationary, and applying ARIMA, MLP, and ELM algorithms using R language. The performance was evaluated using metrics such as RMSE, MAPE, and R square.

 

  1. Stock Price Prediction

Predicting stock market price (Nifty50 of NSE) by applying LSTM models using the sklearn library and Python on year 2021 data. The project included preprocessing the data, fitting the model on closing price, and checking evaluation metrics to improve the accuracy of the model.

 

  1. College Automation Software (2014-2018)

Developed and maintained automation software for engineering college (CMR Technical Campus) using PHP, MySQL, JavaScript, jQuery, and HTML. Additionally, I have a good knowledge of COMPUTER NETWORKING, WINDOWS SERVERS installation, maintenance, and MS OFFICE.