Data Analytics and Visualization

Achala Shenoy

ad5w4r@r.postjobfree.com Mob No: 857-***-**** https://www.linkedin.com/in/achalashenoy/ Education

Master of Science, Data Analytics Engineering May 2024 Northeastern University, Boston Massachusetts

Courses: Computation &Visualization, Database Management Analysis, Project Management, Economic Decision Making Bachelor of Engineering, Information Technology November 2020 University of Mumbai, Mumbai India

Courses: Python, R, Database, AI, Business Intelligence, Data Visualization, Statistics, Data Mining, Operations & Research Professional Experience

System Engineer, Infosys Limited, Pune India January 2021 - June 2022

• Increased data extraction efficiency by 40% through utilization of coding query languages PL/SQL, Oracle, and Azure DevOps, resulting in accelerated dynamic dashboard pipeline generation using the metadata management in AWS.

• Achieved a 30% increase in user satisfaction by implementing web interfaces and interactive dashboards for data visualization.

• Utilized ERP testing to extract, track and report key production metrics and KPI to gain 20% improvement in site management.

• Enhanced project outcomes by 25% through design and relational databases significantly boosted performance and efficiency. Graduation Rotational Internship Program, The Sparks Foundation, Mumbai India September 2020 – December 2020

• Utilized Python and R to process large datasets, applying machine learning algorithms and analytics techniques, resulting in a 52% improvement in tuning growth patterns and facilitating data-driven decision-making. Machine Learning – Internship Program, Verzeo, Mumbai India January 2020 – March 2020

• Generated a Speech-to-Text Model in Python and GitHub using unsupervised learning, resulting in a 68% increased accuracy.

• Collaborated it to an application which showed efficiency of transcribing spoken English to text, supported by innovative data visualization techniques for performance illustration and issue troubleshooting. Academic projects

In-Vehicle Coupon Recommendation System, Northeastern University, Boston Massachusetts December 2023

• Enhanced personalized recommendations in vehicular advertising by implementing statistical learning using Decision Tree.

• Achieved a notable 10% increase in deeper product engagement and networking classification of coupon redemption rates, setting a new benchmark for AI-driven enterprise in vehicular advertising using different clustering. Telecom Customer Churn Model, Northeastern University, Boston Massachusetts May 2023

• Developed and implemented a predictive churn model utilizing advanced machine learning techniques, leading to significant decrease in spam churn and ensuring customer retention. Collaborated across departments to collect and analyze extensive telecom customer retail data, delivering insights to senior management for strategic decision-making with regression models. Analysis of Global Mortality Rate, Northeastern University, Boston Massachusetts December 2022

• Implemented data visualization for mortality analysis using a fast innovation research infrastructure. Identified leading causes of death in various countries to inform regulatory strategies targeting high mortality rates. Analyzed key performance indicators and provided end-to-end visualization of business analytics, validation, and facilitating process improvement. Certifications

Career Essentials in Data Analysis by Microsoft, Microsoft, USA May 2024

• For customer retail data, enhanced sales rate accuracy by 42% through extensive EDA and creation of reliable datasets, demonstrated filters and visualizations to display improvements and facilitate data upgrades.

• Developed a justified data using Power Query and VBA, discovering key sales trends and customer insights in PowerBI. Data Analytics and Visualization Job Simulation, Accenture, USA January 2024

• Worked in real industry trends by gaining a deep understanding of the data analytics using Excel and Power Query.

• Analyzed capacity requirements by forecasting and conducting scenario planning to give 12% less potential production issues.

• Curated visualizations and crafted strategies for social media marketing, to meet customer needs and expedite the process. Technical skills

• Languages: Python (Pandas, NumPy, Matplotlib, ggplot2, Seaborn), R, SQL, HTML

• Data Skills: Microsoft SQL Server, MySQL, Data cleaning, Feature Engineering, Data mining, Data visualization, MS Office

• Analysis Tools: Tableau, PowerBI, Azure DevOps, Microsoft Office (PowerPoint, Excel, Word, Outlook), Power Query, VBA.

• Soft skills: Communication skills, Collaboration, Strategic Thinking, Documentation, Attention to detail, Analytical skills.

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