Kiran Reddy

Kiran Reddy has a work experience as a Solution Intelligence Analyst II at Essex Lake Group starting in April 2023. Prior to that, they worked as a Data Analyst at Morgan Stanley from November 2022 to March 2023. In this role, they implemented Agile methodology, translated scientific and statistical designs into Python coding language, and built reporting infrastructure in Tableau. Before that, Kiran worked at ResearchWire Knowledge Solutions Pvt. Ltd. as a Data Analyst from July 2019 to August 2021. In this role, they analyzed patented innovations and emerging technologies, led a team in data cleaning and engineering, and created impactful dashboards in Tableau to assist top executives. Additionally, they worked as a Data Analyst at 7FinCorp Group from January 2018 to June 2019. In this role, they implemented Waterfall methodology, improved referral conversions with classification techniques, and analyzed plant data using Power BI.

Kiran Reddy completed a Master's degree in Machine Learning and Internet of Things from the University at Buffalo School of Engineering and Applied Sciences from 2021 to 2023. Prior to that, Kiran obtained a Bachelor's degree in Electrical, Electronics and Communications Engineering from Sardar Vallabhbhai National Institute of Technology in Surat, from 2015 to 2019.

Additionally, Kiran obtained several certifications, including "Developing Machine Learning Applications," "Math for Machine Learning," "The Elements of Data Science," "Machine Learning Essentials for Business and Technical Decision Makers," and "Process Model: CRISP-DM on the AWS Stack" from Amazon Web Services (AWS) in 2022 and 2023.

Furthermore, Kiran obtained certifications such as "Deep Learning Specialization" and "AI For Everyone" from DeepLearning.AI, and certifications in "Advanced SQL," "Data Cleaning," "Data Visualization," "Feature Engineering," "Geospatial Analysis," "Machine Learning Explainability," "Pandas," and "Time Series" from Kaggle. Kiran also completed a "Machine Learning Specialization" from Coursera in 2021.