ATHARVA SHANTANU KULKARNI

857-***-**** adyhlo@r.postjobfree.com www.linkedin.com/in/atharva-kulk Boston, MA SUMMARY

Results-driven Business and Data enthusiast with expertise in analytical thinking, business domain knowledge, data analysis, visualization tools, effective communicator skilled in driving data-driven decisions, proposing innovative solutions through seamless collaboration with diverse stakeholders, strong project management, technical acumen, and critical thinking abilities optimize business processes. EDUCATION

Northeastern University Master of Science Applied Machine Intelligence Boston, MA 01.2021 – 04.2023

Courses: Data Mining, Usability & Human Interaction, AI System Technology, Finance Info Processing Vishwakarma Institute of Technology Bachelor of Technology Computer Science Engineering Pune, India 08.2015 – 05.2019

Courses: Python Cross functional statistics, Big Data Application, AI Visualization, Data Science Applications SKILLS

Programming Python, SQL, R Programming, MYSQL, VBA, MACROS, DAX Data Technology Microsoft SQL Server, MongoDB, Hive, Hadoop, Smartsheet, GCP, Alteryx, Talend Technologies / Tools Apache Spark, Tableau, PowerBI, Git, ServiceNow, SharePoint, AWS, Google Studio Certifications AWS Certified Cloud Practitioner, Tableau Analyst, Microsoft Technology Associate Cyber Security WORK EXPERIENCE

Business Data Analyst Breegi Scientific Boston, MA 04.2023 – Present

My daily activities include reengineering of internal and external report process with leadership alignment, cross functioning with new teams, service delivery commitments, create Dashboards on PowerBI and process documentations

Acting as a liaison between Stakeholders and Developers by identifying business needs and performing data-driven analysis in the full lifecycle of Data Ingestion and Dashboard development to ensure scope of work, across the project

Performed detailed data analysis to provide business insights, data requirements utilizing SQL server for select statements needed to access data from different schemas and data-based insights in a uniform manner

Completed ingestion and Deployment of 62 tables as well as reliably translated and executed 20+ external data reports under Spend which are utilized by leadership to perform audits, provide customer communication, and forecast trends Data Analyst Charles River Laboratories Wilmington, MA 01.2022 – 07.2022

Created efficient SQL queries, ETL pipelines to obtain metrics from database, resolved data addition issues, added alerts to signal failure, making the system resilient and scalable, created optimum workflow by weighing various approaches

Curated a high-impact KPI dashboard that facilitated ongoing agile project cost tracking, identified, and mitigated potential issues by 15%

Leveraged PowerBI to design and publish accurate forecasting reports for Salesforce, enabling confident decision-making for 300 FTEs

Identified critical understandings and presented comprehensive reports in PowerBI to stakeholders, providing key inputs for effective business decision-making, resulting in a 20% increase in cost savings approximately $200K through scalable project reforecasting Data and Operations Analyst Northeastern University Boston, MA 09.2021 – 04.2023

Played a pivotal role in curating and processing data, preparing it for data science and statistical analysis. Collaborated closely with the data analytics team to develop analysis pipelines, generating essential measurement metrics for further statistics analysis

Utilized advanced Tableau dashboards to gain critical anomalies from complex data sets, resulting in a 15% improvement in productivity, 20% increase in efficiency, and 10% networking enhancement in availability across business operations

Led weekly office hours, learning sessions and taught Database design concepts, efficient SQL querying, resolved questions, identified growth areas through review sessions and provided feedback thus, guided them to improve their technical and leadership skills Data Analyst ATOS and Gut Lerner Technology Pune, India 02.2019 – 12.2020

Analyzed ITIL service software development life cycle, developed and implemented an innovative Python and VBA framework to automate daily workflow, resulting in a 70% reduction in manual work, bridged statistical techniques and gap analysis to optimize service offerings

Maintained version control and ensured continuous integration and deployment of the framework using Git, leading to an efficient and streamlined development process

Utilized MS Excel to analyze data from graphs and dashboards generated by the framework, gaining valuable insights into software workflow and identifying areas for improvement

PROJECTS

Academic Projects Stock Data AWS Pipeline Python, Flask, EC2, RDS

Built an End-to-End pipeline to extract data from Yahoo finance API, transform the data and load the data on AWS RDS.

Developed a Flask application for displaying different stocks by rendering the data to HTML pages, Hosted the Flask application on AWS EC2 Time Series Analysis for Walmart Time Series Forecasting and Data Analysis – Modelling

Structured a forecasting tool to evaluate revenue variances, business pipelines, industry trends, and probability of projected Sales / Profit for up to three years via Python-scripted ARIMA model to provide a quantitative thorough analysis report to project sponsor

Crafted tableau-generated interactive dashboard and detect outliners as well as KPIs contributing to sales and profitability for different categories which helped in strategic planning for organization ML models machine streaming segment revenue written writing vision version control validate statistics specification results oriented technical software re development lifecycle software research relationship management recommendations organizational skills optimization open source less leadership interface innovative GitLab discovery customer needs customer engagement consulting complex issues communication skills collaborate business intelligence business case business analysis architecture analytics products analytical skills advanced analytics troubleshooting time management status query quality assurance key performance indicators integration fast paced database data visualization data modeling data analytics continuous improvement

communicate Agile Methodology best practices for Project attention Management to detail and analytical made a and case problem study about risk use management of the methodology legal basic analysis in project accounting market machine verbal learning communication full stack skills express strategy collaborative statistical analysis. packages spss twitter small segmentation strategy spark sap software regulatory engineer process social improvement media rest apis problem r&d product lean inventory design predictive control http model fast paced machine data learning visualization kafka tools joy io data interpersonal models communication skills infrastructure skills hardware collaborative go founder business Facebook strategies excel business docker processes devops data scrum engineer information data driven technology solutions information cust omer system success dap communicate code review collaborative azure strategy c business self growth project bash management back end programming analysis interactive language tools monitoring infrastructure innovation excel detail execution oriented ethics compliance documentation analysis customer strategy service self motivate cross functionally instagram communicate deployment collaborative business models analytic big data tool application testing quantitative analysis analysis Communication, operating cross systems functional ip google statistical analytics methods forth cookies sass research assembly regression Linux communication basic application Implemented LSTM, XGBOOST and GRU model algorithm to transform training data and predict test data to result in closing price prediction for 10 window sizes with 67% accuracy Implemented LSTM, XGBOOST and GRU model algorithm to transform training data and predict test data to result in closing price prediction for 10 window sizes with 67% accuracy

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