Work Ex

Ashling AI

• Led successful process mining deployments end-to-end, developing, documenting, validating, and streamlining 91TB of data models and analyses.
• Managed full project lifecycles from kickoff through training, ensuring on-time delivery and tight alignment with customer requirements.
• Optimized $60M in customer savings by applying Celonis OCPM to uncover insights and drive strategic decision-making.

Evolution International

I was a part of the Enterprise Data Science team which was working in Machine Learning domain. I was a part of two teams – Ecommerce Bots and Customer Segmentation.

Customer Segmentation

• Processed and refined large-scale datasets, ensuring data accuracy and consistency for clients like T-Mobile, HSUS, Oxfam, Verizon and Heifer International.
• Utilized machine learning and statistical techniques to analyze customer behavior, improving targeted marketing strategies for GiveBridge platform by 16%.
• Developed predictive models for customer segmentation, increasing campaign response rates by 13.7% and reducing customer churn by 17%.
• Designed and implemented A/B tests, boosting overall ROI by 19% for marketing campaigns.
• Created data visualizations and dashboards for effective communication of insights to stakeholders by utilizing Power BI.
• Contributed to the development of personalized recommendation systems, leading to a 31.47% increase in cross-selling and upselling opportunities.
• Conducted sentiment analysis on social media data, improving brand sentiment and engagement by 16%.
• Implemented NLP techniques to extract valuable information from customer feedback, reducing response time by 21.54%.
• Conducted market basket analysis to identify product associations, driving targeted promotional strategies and increasing sales by 17%.
• Collaborated with a data engineering team to optimize pipelines, reducing processing time by 11% and improving data handling efficiency.

E-commerce Bots

Bots are the future of engagement between the user and brand or let us just say, the fan and the celebrity!! We are planning to develop a chatbot for client ecommerce website using AWS Lex. We will chat with the user and try and find attributes like their age, gender and if they are interested in the respective product etc. Using these attributes to the apriori algorithm, we will get the products that are most suitable for the user. This will be done using the support and confidence from the algorithm. The bot will then offer these products to the user and help them direct to the website of the respective product. This will increase the engagement of the user with the website.

Teaching Assistant at SDSU

• Assisted in teaching Java and Core Java courses at SDSU for 2 years, providing instructions and support to 493 bachelors students.
• Conducted weekly tutorial sessions, resulting in an average improvement of 17% in students' understanding and application of Java concepts.
• Created and delivered engaging presentations and demonstrations, resulting in an average increase of 23% in students' active participation and class engagement.
• Assisted in grading assignments and exams, maintaining a turnaround time of 48 hours and providing timely and constructive feedback to students, resulting in an average grade improvement of 23%.
• Implemented innovative teaching strategies, such as hands-on coding exercises and group projects, resulting in a 27% increase in students' practical application and problem-solving skills.
• Developed and maintained a comprehensive online resource repository, resulting in a 33% increase in students' utilization of self-study materials and supplemental learning resources.
• Provided one-on-one mentoring and support during office hours, resulting in a 13% increase in students' confidence and comprehension of complex Java concepts.
• Collaborated with faculty and fellow teaching assistants to continuously improve course materials and teaching methodologies, resulting in a 26% increase in overall course satisfaction as reported by student evaluations.
• Actively engaged with students through online discussion boards and email communication, maintaining a response rate of 24 hours and ensuring effective communication channels for addressing questions and concerns.

Capgemini

• Conducted thorough data analysis on projects concerned with data of clients like Citibank, extracting meaningful insights and identifying key trends and patterns.
• Utilized advanced statistical techniques to perform data modeling and predictive analysis, resulting in accurate forecasting and improved decision-making.
• Developed and maintained complex SQL queries and scripts to retrieve and manipulate data from various databases and sources.
• Created interactive data visualizations and dashboards using tools like Tableau or Power BI, enabling stakeholders to easily comprehend complex data sets.
• Collaborated closely with cross-functional teams to define project objectives, formulate analytical approaches, and provide actionable recommendations based on data-driven insights.
• Conducted regular data quality assessments and implemented data cleansing and validation processes to ensure accuracy and reliability.
• Generated comprehensive reports and presentations to communicate findings and recommendations to both technical and non-technical stakeholders.
• Actively participated in team meetings and knowledge-sharing sessions to contribute insights and learn from colleagues.
• Assisted in the implementation and optimization of data analytics tools and platforms, streamlining processes and improving efficiency.

Fliprobo Technologies

• Performed visualization of website’s visitor’s data using apache Hadoop tools
• Liaised with a team of ten to draw conclusions from web logs generated by clickstream data
• Analysed and selected appropriate web logs from Adobe Omniture and uploaded to HDFS by Apache Ambari
• Parallelization, dataset analysis and abstraction map reduce was done by Apache Pig
• Data Selection process was done by eliminationg non usable fields and views were created on the tuples
• Partnered with team members and visualized queries using maps, bar and Y charts after ODBC connections
• Evaluated average age, popular states/country, popular gender, average visits of URL, by execution of project

TechnoWings

• Worked on a cloud computing project, leveraging AWS services, to develop and deploy scalable and reliable solutions for clients.
• Collaborated with the team to architect and implement cloud infrastructure, resulting in a cost reduction of 29% compared to on-premises solutions.
• Utilized Amazon EC2 Auto Scaling to optimize resource allocation, leading to a 23% improvement in application performance during peak usage periods.
• Implemented serverless computing using AWS Lambda, resulting in a 50% reduction in operational costs and improved scalability.
• Designed and implemented a robust monitoring system using AWS CloudWatch, achieving a 27% reduction in mean time to detect and resolve incidents.
• Collaborated with the security team to implement AWS Identity and Access Management (IAM) policies, resulting in a 37% reduction in security vulnerabilities.
• Optimized data storage and retrieval using AWS S3, achieving a 34% improvement in data access speed and reducing storage costs by 21%.
• Conducted load testing and performance tuning using AWS Load Balancer and Auto Scaling, resulting in a 41% improvement in system response time under heavy load.
• Actively participated in knowledge-sharing sessions and kept up-to-date with the latest AWS services, incorporating new technologies that improved overall project efficiency by 17%.

Zensar Technologies

ESD Program

• Zensar Technologies is an IT services and infrastructure services provider.
• This program included three modules Frontend, Backend and Soft Skills. We were trained by Sr. Corporate Trainer Dipali Shah.
• We learnt a lot about Java, Json, SQL, MongoDB during this training.
• The Soft Skills part was taught by Mrs. Gauri Deole were we learnt a lot about team building, confidence and presence of mind