Niharika Bindela Email & Phone Number

Coraopolis, Pa, Us

Morrisville, North Carolina, United States

I have a strong background in developing and deploying machine learning models using Azure, particularly for IoT platforms and smart cities. My expertise includes statistical analysis, deep learning, and natural language processing to derive insights from large datasets and support data-driven decisions.I’ve worked extensively with Azure tools like Data Factory, Databricks, and SQL for data processing, feature engineering, and building end-to-end machine learning pipelines. Additionally, I’ve created impactful data visualizations using Power BI and Python libraries for clear communication with stakeholders.My experience also includes integrating AI/ML into IoT architecture, optimizing algorithms for embedded systems, and working with big data technologies like Apache Spark. I’ve led A/B testing, data governance, and collaborated with teams to deliver scalable solutions across various industries.

Richfield, Minnesota, United States

As a Senior Data Scientist at Best Buy from May 2019 to June 2021, I specialized in building and deploying advanced machine learning models to enhance cash collections and optimize workforce efficiency. Utilizing AWS services, I designed scalable solutions that processed large volumes of structured and unstructured data, enabling data-driven decision-making across various business units.My expertise in natural language processing (NLP) allowed me to analyze and categorize complex datasets, implementing document-matching methodologies to derive insights from text data. I developed deep learning models using frameworks like PyTorch and TensorFlow, ensuring efficient performance and cost-effectiveness in our data pipelines.I played a pivotal role in feature engineering, exploratory data analysis, and developing interactive dashboards with Tableau, providing stakeholders with clear visualizations of key insights. Collaborating closely with cross-functional teams, I guided the technical direction of projects, ensuring successful outcomes through agile methodologies.

New Delhi, Delhi, India

At Fusion Microfinance, I built machine learning models for financial data analysis using Python, R, and SQL. My role involved performing exploratory data analysis and utilizing tools like Spark and Hadoop for big data processing.I applied clustering techniques and bootstrap resampling to handle imbalanced datasets, helping improve model accuracy. I also managed ETL processes with Azure Data Factory to streamline data workflows.I worked on feature engineering and developed prototypes in Jupyter Notebook, translating data insights into actionable recommendations for business growth.

Mumbai, Maharashtra, India

At HDFC Life, I worked as a Data Analyst, where I was responsible for conducting both qualitative and quantitative analysis of large datasets. I leveraged SQL, R, and Python to clean, filter, and transform data, making it ready for in-depth analysis and modeling. My focus was on extracting valuable insights from transactional data to support decision-making in key business areas.I implemented machine learning models, including classification and regression techniques, to analyze product performance and predict outcomes. My work involved data visualization using tools like ggplot2 in R and Matplotlib in Python, helping to present complex data in a clear and interactive manner to stakeholders.I also worked extensively with AWS services like S3 and SageMaker, automating ETL processes and enabling real-time analytics. My role required collaborating with different teams to ensure the alignment of data insights with business goals and developing intelligent dashboards using Tableau and R for strategic decision-making.