Padmashri Kokkalaki

An enthusiastic Data Engineer having 2+ years experience in the world of Data Engineering. Responsibly gather, collect, evaluating business needs and objectives and store the data. Worked on Apache Hive, PySpark, Oozie, Informatica Intelligent Cloud Services (IICS), Oracle SQL, MS SQL, Azure Data Lake Storage. Have been working in project which follow agile and scrum processes. Looking forward to working as data scientist, data engineer, machine learning Engineer.

Training and Certification:

Advanced Program in Computational Data Science, IISC, March 2022 - Present

• Sound knowledge of Machine Learning and Deep Learning fundamentals
• Supervised Learning models known are Linear Regression, Logistic Regression, Decision Trees, Random Forest, Classification Modeling
• Unsupervised Learning models known Clustering
• Knowledge of machine learning tools and libraries such as TensorFlow, Scikit-learn
• Sound knowledge of exploratory data analysis to analyze and summarize datasets.

Academic Projects:

• Predict the loan defaulters using a Logistic Regression model on the credit risk data and calculate credit scores
• Build a model to recognize emotion from speech using Ensemble learning
• Perform customer segmentation for an Online Retail using an Unsupervised Clustering technique (K-Means)
• Predict the bike-sharing counts per hour based on features including weather, day, time, humidity, wind speed, season.

• Excellent communication skills in English (spoken and written)
• Open-minded, independent problem-solver and highly motivated team player
• Decision making, planning and leadership capabilities
• Willingness to learn and adapt to new technologies and quick learning ability
• Well trained to work with larger team sizes