Srishti Patil

Baltimore MD-***** 667-***-**** adlkbx@r.postjobfree.com linkedin.com/in/srishtipatil96/ SUMMARY

Thorough and meticulous Analyst with significant experience in increasing comprehension of reports and presentation. Highly educated, pursuing Master’s in Information systems. Passionate to work and learn by working in a fast-growing company.

EDUCATION

University of Maryland, Baltimore County, Baltimore, MD Master of Science in Information Systems, GPA 3.6 Expected May 2021 Savitirbai Phule Pune University, Pune, India

Bachelor of Engineering in Computer Engineering, GPA 3.5 May 2018 TECHNICAL SKILLS

Programming Skills : Python, R

Big Data : Apache Spark, Apache Kafka, ELK stack (Elastic search, Logstash, Kibana) Analytics : Python (Pandas, NumPy, Matplotlib, SciPy) Database Management : MySQL, PL/SQL, MongoDB, Oracle11g Data Visualization : Tableau, Microsoft PowerBI, Kibana, Weka, MS Excel WORK EXPERIENCE

Data Analyst Intern Jan 2021 - Present

Index Analytics LLC, Baltimore MD, USA

• Extracted Employee Skills Data through Survey to obtain insights from the data as what Employee poses.

• Designed conceptual and logical data models of database and tables.

• Reviewed the logical model with the BI team to provide information about the data model and requirements.

• Built PowerBI dashboards to develop reports and visualization of the collected data. ACADEMIC PROJECTS

Streaming Data Analytics Fall 2020

• Collected Data from Meetup.com which organizes virtual events for people with similar interests in different cities.

• Fetched data from Live HTTP stream using Apache Kafka, involved building a Kafka Producer.

• Created a pipeline of Kafka producer and ELK stack for analyzing and visualizing data.

• Created real-time dashboards using Kibana to search most active cities to help small business. US Accident Analysis Fall 2020

• Analyzed US accidents data over 3M records having 49 columns.

• Built kNN classifier to correctly classify the real reason behind increase of accidents.

• Created dashboards using Tableau to prove the hypothesis. Prediction of Rain in Australia Fall 2020

• Data consisted of daily weather observations from numerous Australian weather stations.

• Created models like Random Forest, SVM, Logistic Regression, Naïve Bayes to predict rainfall for the next day.

• Achieved the highest accuracy for Naïve Bayes Algorithm amongst all the methods. Course Scheduling System Fall 2019

• Developed scheduling backend system using Oracle PL/SQL for course management.

• Designed database for course scheduling and management system.

• Successfully implemented different features like allowing students to search for course, enroll, drop, etc. ACHIEVEMENTS & CERTIFICATIONS

HP Summer Scholar, HP

• Learnt how a global business operates and how business decisions are made.

• Explored technology in core business areas, including gaming, 3D, software data analytics, and sales.

• Understood how global megatrends influence business and the global economy.

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