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Mangesh Wadekar

@mangeshwadekar

Data Analytics at SoftGrid Info Pvt Ltd.

Pune, Maharashtra

SoftGrid Info Pvt Ltd.Great Lakes Institute of Management

Mangesh Wadekar is a Data Analytics Engineer with 3.8 years of expertise in data cleaning, preprocessing, and exploratory data analysis. He specializes in implementing supervised and unsupervised machine learning models and utilizing SQL for data exploration. His project work includes IoT intrusion detection and sports performance analysis.

Experience

Data Analytics

SoftGrid Info Pvt Ltd.

Sep 2022 - PresentPune, Maharashtra

Led data cleaning and preprocessing efforts for IOT Intrusion Detection, Sports analysis and flight price predication. Conducted in-depth Exploratory Data Analysis (EDA) to uncover key insights. Implemented statistical hypothesis testing. Developed supervised learning regression, supervised learning classification, and unsupervised models. Performed advanced analytics and visualization methodologies. Used SQL for data exploration and analysis.

Data Analytics and Python Developer

MPB Digital India Pvt Ltd.

Jun 2020 - Aug 2022Pune, Maharashtra

Achieved successful implementation of a Python-based machine learning model, showcasing comprehensive analysis and coding proficiency. Developed supervised learning regression, supervised learning classification, and unsupervised models. Leveraged SQL proficiently to conduct extensive data analytics, employing advanced query optimization techniques. Led end-to-end data analysis and machine learning projects including data gathering and preprocessing.

Education

Great Lakes Institute of Management

Post Graduate Program

Data Science And Machine Learning

Jan 2023

MGM’s Jawaharlal Nehru Engineering College

Bachelor of Engineering

Information Technology

Jan 2016 - Jan 2019

Shree Sai Institute of Technology

Diploma

Computer Science & Eng.

Jan 2014 - Jan 2016

Skills

Data Structures and Algorithms
DBMS
Python
SQL
C
C++
Java
NumPy
Pandas
SciPy
MatPlotLib
Seaborn
Spark
Prophet
Tensorflow
PyTorch
NLTK
Scikit-Learn
Hive
Tableau
Power BI
Advance Excel
FNN
CNN
RNN
Descriptive Statistics
Statistics for Data Science
Hypothesis Testing
T-test
Z-Test
Chi-Square Test
ANOVA Test
Cross Validation
ad-hoc analysis
Data Cleaning and Preprocessing
Chatbot
Supervised Learning Regression
Supervised Learning Classification
Unsupervised Learning
Natural Language Processing
Time Series
LLM
Forecasting
EDA
Data curation
feature Engineering
model Tuning
Problem solving
SPSS