Bindu Madhavi Rajendram

To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.

Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.

Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level Data Scientist position. Ready to help team achieve company goals.

Graduate in BSc and completed PGP program on Data Science and ML looking forward to a successful career as Data Scientist.

Project – 1: HR Analytics

A company facing high attrition rate among their employees. We need some special plans and strategies to help them retain and grow bigger as a company.

Role:

• Data Pre-processing that includes identifying null values, missing values & duplicate values.
• Data correlation and plot heat map using Seaborn library
• Data Visualization using Python libraries like Pandas, Seaborn to make conclusions

Project – 2: Analyzing the trends of COVID-19 with Python

Write code to visualize the impact and analyze the trend of rate of infection and recovery as well as make predictions about the number of cases expected a week in future based on the current trends.

Role:

• Use pandas to accumulate data from multiple data files
• Use plotly (visualization library) to create interactive visualizations
• Use Facebook prophet library to make time series models
• Visualize the prediction by combining these technologies

Project – 3: Netflix Recommendation

Build a movie recommendation system using Netflix Movie Ratings. There are 17337458 Ratings given by 143458 users to 1350 movies. Ratings are

in the form of Integer (1 – 5)

Role:

• Load Rating Data and Movie Data
• Analyzing the Data
• Use recommendation model
• Make predictions by using SVD

Project – 4: Walmart Sales Prediction

A retail store that has multiple outlets across the country are facing issues in managing the inventory to match the demand with respect to supply. To overcome these issues, make prediction models to forecast the sales for X number of months/years.

Role:

• Data Pre-processing and Outliers Treatment
• Data Visualization and Modelling using scikit learn library
• Perform train and test and evaluate ML models (Linear Regression, Decision Tree, Random Forest)

nd test and evaluate ML models (Linear Regression, Decision Tree, Random Forest)

PGP certificate in Data Science and Machine Learning from Intellipaat

Good at South-Indian and Continental recipes

Classical and Melody are my Favourites.