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Social Media Software Developer

Location:
Syracuse, NY
Posted:
February 02, 2021

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Resume:

HRISHIKESH PRAVIN GADKARI

Syracuse NY USA 315-***-**** adjv23@r.postjobfree.com linkedin.com/in/hgadkari github.com/hrishigadkari EDUCATION

Syracuse University, Syracuse, NY, Masters in Computer Science May 2021 Coursework: Operating Systems, Data Science, Design and Analysis of Algorithms, Social Media and Data Mining. Mumbai University, Mumbai, India, Bachelors in Computer Engineering June 2019 Coursework: Artificial Intelligence, Database Management Systems, Object Oriented Programming, Data Structures. TECHNICAL SKILLS

Programming Languages – Python, Java, R

Software Tools / Frameworks – Git, Tableau, Microsoft Excel, Juypter Notebook, Weka, Bootstrap Operating Systems and Databases - Windows, Linux, MySQL, SQLyog WORK EXPERIENCE

Teaching Assistant, Mumbai University, India July 2018 – June 2019

• Devised strategies to create study materials based on class lectures and student’s abilities to understand topics conveniently

• Tutored students to help them master assignments and to reinforce learning concepts presented by professor during class

• Organized eight lab sessions demonstrating classification, regression, and clustering algorithms on datasets in Python and Weka

• Helped professor in organizing and storing multi-dimensional data into OLAP cubes in ordered manner for logical analysis Machine Learning Intern, ExpertsHub, India June 2018 – June 2018

• Designed and advanced a Linear Regression model in Python to plot and predict stock prices with 90% accuracy

• Generated time series models to gain historic insights and recommended profitable portfolios to reduce investment risk

• Collaborated closely with front-end team to design and develop user interface with Tkinter to display company’s stock forecast

• Led a group of nine interns and supervised project to create a workable model resulted in making informed investment decisions

• Worked closely with upper-level managers to present methodology, system architecture, test results and communicated progress SELECTED PROJECTS

Software Developer, Covid-19 Detector, Syracuse University November 2020 – January 2021

• Developed a model to classify chest X-ray images into covid-19 and Viral Pneumonia using CNN algorithms with 96% accuracy

• Performed multiple data augmentation techniques and solved data imbalance problem to achieve better classification results

• Analyzed CNN and classification algorithms to improve classification accuracy and managed to gain a 5% accuracy growth

• Designed complete workflow of the classifier model and ensured to deliver the project on time with documentation Data Science Engineer, Titanic Survival Analyzer, Syracuse University June 2020 – July 2020

• Analyzed survival chances of individuals by comparing seven classifier algorithms and achieved 95% accuracy using RF classifier

• Performed chi-square test to remove irrelevant features and obtained reduction in training time with improved accuracy

• Achieved top three important features influencing higher survival rate by integrating Extreme Gradient Boosting into model

• Developed Tableau visualizations and dashboards to provide graphical representations of data with results Data Analyst, Consumer Complaints Analyzer, Syracuse University January 2020 – April 2020

• Designed a complaints classification system using Natural Language Processing to enhance client experience with 85% accuracy

• Performed data preprocessing on 1 million data records using TFIDF weights to obtain top correlated unigrams and bigrams

• Applied Linear SVM model with 5-fold cross validation to improve accuracy by 10% and techniques to visualize data

• Integrated sentimental analysis model applying VADER to measure degree of complaints and obtained sentiment scores

• Collaborated with team engineers to ensure optimal design and drafted project documentation report Software Developer, Smart Farming, Mumbai University July 2018 – May 2019

• Constructed an agricultural advisory system using machine learning algorithms to increase crop yield with 75% accuracy

• Built a complete web application to identify problems and providing efficient solutions with detailed statistical report

• Interacted closely with project mentor to define, implement, test, and deploy evolving requirements

• Collaborated with team members to finish development projects and testing activities by ensuring smooth delivery on time

• Prepared detailed documentation and demonstrated working model with results to project selection committee



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