Vedika Soundattikar Email: ad2558@r.postjobfree.com

*** ********** **** *** ****, Ph. +1-551-***-**** Jersey City, NJ 07310 LinkedIn

Education

MKSSS’s Cummins College of Engineering for Women, Pune, India May 2018 Bachelor of Engineering in Electronics and Telecommunication Engineering, First Class with Distinction

Technical Skills

● Expert: SQL, Python, Pandas, NumPy, Advanced Excel, IBM Cognos, Tableau, Power BI

● Intermediate: Apache Spark, Data Structures, Data Modelling, ETL

● Beginner: Machine Learning, NLP, Amazon QuickSight, MongoDB Professional Summary

Application Development Senior Analyst September 2021 – October 2022 Accenture India Pvt. Ltd, Bengaluru, India

● Implemented interactive Tableau self-serve dashboards using retail data resulting in sales boost of ~28% YoY.

● Optimized the existing complex SQL queries by employing indexing strategies, resulting in up to 40% improvement in execution times and lower cost of cluster operation by 38 % MoM.

● Collaborated with business stakeholders, sales team and recommended areas of focus enhancing the annual sales by 56%.

● Presented trends, risks and recommendations on business KPI's and transformed 20+ business requirements into data specifications and spearheaded data mapping for Australia’s Leading Telecommunication client. Application Development Analyst October 2018– September 2021 Accenture India Pvt. Ltd, Bengaluru, India

● Participated in requirements meetings and data mapping sessions to understand business needs and created technical design documents enabling junior analysts to create ETL for Accenture’s DataCore Team.

● Developed self-serving dashboards which helped non-technical customers to derive critical business insights and saved

~2 HC (400 man-hours) of ad-hoc data pulls per year.

● Led a team of 5 QA Engineers to find 25+ bugs during UAT testing ensuring data quality and timely deliveries.

● Generated quality control reports for returned products to identify and communicate patterns resulting in average reduction of returned products by ~20% and saving $200K annually. ACADEMIC PROJECTS

Smart Online Notice Board,

Cummins College of Engineering for Women

● Built a notice board application that identifies intended recipients from the text and notifies them with an email.

● Identified intended recipient with 95% accuracy. Detection of anomalous human behavior using Machine Learning, Cummins College of Engineering for Women

● Designed a machine learning algorithm which can detect human falls and inform first responders.

● Achieved an accuracy of 87% using Support Vector Machine (SVM).