HARISH DASARI
Strategic Analytics Leader | Expert in Scaling BI & AI-Driven Insights | 7+ Yrs Leading Teams, Tools & Transformation Across Global Markets
Strategic Analytics Leader | Expert in Scaling BI & AI-Driven Insights | 7+ Yrs Leading Teams, Tools & Transformation Across Global Markets
Harish is an experienced Analytics Leader with 7+ years of proven success in driving data strategy, team development, and scalable innovation across global enterprises. He has worked with industry leaders like Tiger Analytics, Ford Motors, and TCS, delivering impactful solutions across North America and Europe.
Harish specializes in Pricing Optimization, Predictive Modeling, and Business Intelligence, having led strategic initiatives for a $25B Quick Service Restaurant (QSR) giant. His work includes integrating GPT-powered forecasting, Bayesian modeling, and optimization techniques to drive revenue growth and customer targeting efficiency.
He is highly skilled in tools such as SQL, Python, Tableau, and Power BI, and has a strong track record of translating complex business needs into data-driven solutions. Harish is also known for his ability to build and lead high-performing teams while maintaining strong stakeholder relationships.
He holds a Master’s degree in Business Administration (MBA) from IIT Kharagpur. In addition to his professional accomplishments, Harish is passionate about networking, exploring innovative technologies, and engaging with professionals from diverse fields. Outside work, he enjoys playing Chess and Cricket and embraces learning with the same energy he brings to his career.
"The Only Way To Do Great Work Is To Love What You Do - Bill Gates"
Skilled in using statistical tools to interpret data sets and paying specific attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
Data Analysis
Comprehending the business problems and analyzing the data sets to effectively interpret findings in a way that makes sense to all the stakeholders.
Preparing reports and dashboards for end users/clients that effectively communicate trends, patterns, and predictions using relevant data.
Appealingly presenting the analysis by using infographics which includes critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
A market surveyed analysis which provides various insights depicting the changing consumer behavioral trends in the automobile sector post-pandemic
Sentiment Analysis of the tweets provided from the dataset by developing a machine learning pipeline involving the use of three classifiers namely Logistic Regression, Bernoulli Naïve Bayes, and Support Vector Machine along with using Term Frequency - Inverse Document Frequency.
An analysis of the historical changing trends in crude oil consumption and. The worldwide historical data included data from 1990 to 2019