Anup Arjunrao Jambulkar Email & Phone Number

Nagpur, Mh, In

Gurugram, Haryana, India

1. Developed interactive dashboards on Looker Studio integrating custom queries, Google Sheets, and BigQuery databases for tracking business metrics such as product performance, penalties, store timings, and merchant activity.2. Moved over 80+ Python scripts from Venv to Kubernetes for automating tasks including merchant onboarding tracking, price inflation analysis (Zomato vs Magicpin), revenue collection, NPA calculations, etc.3. Utilized APIs to send push notifications and WhatsApp messages to merchants, increasing daily active users (DAU) by 80% from 2023 to 2024 and enhancing overall business engagement on the partner app.4. Collaborated effectively with cross-functional teams to ensure alignment and maximize project outcomes, fostering a cohesive working environment conducive to innovation and problem-solving.

Bengaluru, Karnataka, India

• Learned skills like Python, SQL, EDA, Statistics, Feature Engineering, and other skills like teamwork, time management, and problem-solving. Gained hands-on experience on Tableau, Power BI, Pandas, and Scikit learn• Worked on projects like Netflix movies and tv shows clustering, Coronavirus Tweet Sentiment Analysis, and Rental bike demand prediction. Worked on SQL case studies like Danny's Dinner, Pizza Runner and Foodie Fi. Gained proficiency in python programming• Worked as a Subject Matter Expert and solved data science-related questions and queries over the Doubt Resolution forum

Bengaluru, Karnataka, India

1. For the world's leading internet streaming service Netflix requires a good Recommendation system and for that proper segregation of data is required.2. Conducted an EDA to understand what content is available in different countries by segregating TV shows and Movies and obtained the required insights from the EDA.3. Started with Pre-processing the text data. This filtered data is passed through TF - IDF after it is passed through PCA to remove redundant features.4. Formed 10 distinct clusters with similar data points by K-means clustering, Also made a simple Recommender system by using cosine similarity.

Bengaluru, Karnataka, India

1. Built classification models for classifying the sentiments for COVID-19 Tweets.2. Pre-processed text data by removing stopwords, punctuations, and non-useful words using tokenization and lemmatization. Then applied TF-IDF and Count-Vectorizer before training the sentiment analysis model.3. Among all the models Logistic Regression with GridSearchCV hyper-parameter optimization gives the best Accuracy of 77% with word importance.

Bengaluru, Karnataka, India

1. Developed supervised regression-based models to predict the hourly demand for bikes to reduce the public waiting time using ML algorithms2. Performed Data pre-processing, statistical analysis & EDA to gain meaningful insights and Feature Engineering to extract features.3. Several machine learning models were trained, among them, the X-G boost regressor with gridsearchCV performed the best with an adjusted r-squared score of 0.91.

Nagpur, Maharashtra, India

During this period, by implementing various strategies such as managing the workforce, setting specific time limits for production, using computer-aided design (CAD) drawings, regularly maintaining machinery, and conducting safety drills, we were able to achieve a 6% increase in production rate. These efforts helped to improve overall efficiency and productivity.

Nagpur Area, India

During this period, I made efforts to improve the production process by working on the engine assembly line, checking quality standards, managing inventory, and setting up a new assembly production line J-BAR.

Bachelor'S Degree, Mechanical Engineering

Diploma, Mechanical Engineering

Bachelor'S Degree