
Indrani Pendyala
About Candidate
Dynamic professional with extensive experience in data analytics and machine learning, now seeking to leverage analytical skills in a business development role to help companies identify challenges, design strategic solutions, and enhance operational efficiency. Skilled in interpreting complex data to drive business strategy and improvements.
Education
AIML : Artificial Intelligence & Machine Learning, GPA: 91.15
Electronics and Communication Engineering, GPA: 72.36.
Experiences
Improve overall decision making by designing and developing BI reports and providing valuable insights for data driven decision making. Comprehend business requirements in a BI context and developed Data models to convert data into actionable insights Identify required KPIs and monitor them. Proficient in developing business plans and strategies that align with company goals. Experienced in overseeing project timelines, coordinating teams, and ensuring timely delivery of business objectives. Manage account creation for platforms such as Play Store, App Store, and Google My Business, ensuring seamless digital operations.
Intern Machine Learning Models- Linear and Logistic Regression, Decision trees, Random Forest, Bagging, Boosting, K-Means clustering Built models using NLP/NLTK packages, BERT language modelling.
Intern Handled data cleaning and pre-processing tasks using pandas, sciPy and numpy Also performed Exploratory Data Analysis (EDA) on various projects Practiced data classification projects using BERT, spaCy and NLTK Worked on data sets relating to customers feedback at shopping malls, electoral data and Identification of spam customer emails & sms Experienced in embedding strong visualizations in data analysis and model development using matplotlib, seaborn and plotly Plant seedlings image classification using CNN in Keras- Built a CNN from scratch to classify images into their respective categories ADDATHON: Participated in and stood among top 10 in ADDATHON competition- Analyzed UAE accidents data, created dashboards for decision makers and developed accidents predictive model using Machine Learning



