Prashant L.

Prashant L.

Data scientist with experience of 3.2 years in Data Science.

Pune , India

Experience: 3 Years

Prashant

Pune , India

Data scientist with experience of 3.2 years in Data Science.

12278 USD / Year

  • Notice Period: 30 Days

3 Years

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About Me

Machine Learning: Linear Regression, Ridge & Lasso Regression, Logistic Regression, K Nearest Neighbor’s Classifier, Support Vector Machine, Decision Tree, Random Forest, Gradient Descent, Ada-Boost, Gradient Boosting, XGBoost....

Python/ML Packages: NumPy, Pandas,Scikit-learn,Seaborn, Matplotlib, Statsmodels,Pandas Profiling,ColumnTransformer,Sklearn Pipeline,etc

NLP :  Sentiment Analysis,Tokenization,Lematization,Stemming, POS , Stop word removal, TF-IDF, N-grams, Bag of Words, W2Vec,NLTK.

Time-Series Analysis: AR, MA, ARIMA, SARIMAX, VAR models for time series data analysis.

Database: MySQL

Tableau, Github,Jira.

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Skills

Operating System

Networking & Security

Portfolio Projects

Customer Churn Prediction Of Car Insurance Company.

Company

Customer Churn Prediction Of Car Insurance Company.

Role

Data Scientist

Description

Growing insurance market allure many companies to enter into insurance sector which increase competition in this sector. To survive and grow in this competitive market insurance company need to predict their customer churn. Customer churn model enable company to predict its customer‘s choice of retention or attrition which help company to get idea of its revenue.

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Sentiment Analysis of Coffee House Customers .

Company

Sentiment Analysis of Coffee House Customers .

Role

Data Scientist

Description

                       Brand reputation and goodwill can be improved by listening voice of customers. With sentiment analysis keeping track of customer comments allows you to engage with customers in real time. It enable to quickly respond to negative or positive comments, and get regular, dependable insights about your customers, which you can use to monitor your progress from one quarter to the next.

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Electricity Consumption Forcast UsingTime Series Analysis.

Company

Electricity Consumption Forcast UsingTime Series Analysis.

Role

Data Scientist

Description

Electricity demand growing day by day creates many problems for powerplant managers like matching supply with demand, maintain power grid stable, avoid power cut etc. Forcasting electicity consumption makes powerplant manager’s task easy which help them to build efficient power management system.

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