Data Science Analytics

SUYESHA LAMNE

857-***-**** *****.**@************.*** linkedin.com/in/suyesha-lamne github.com/SuyeshaLamne EDUCATION

Northeastern University, Boston, MA Sep 2023 - Present Master of Science in Information Systems

Coursework - Data Science Engineering Methods and Tools, Data Management and Database Design, Web Design and User Experience Engineering, Agile Software Engineering, Advanced Data Science, Big Data Architecture and Governance University of Mumbai, Mumbai, India Aug 2016 - Oct 2020 Bachelor of Engineering in Electronics and Telecommunications Coursework - Database Management Systems, Big Data Analytics, Structured Programming Approach, Object Oriented Programming SKILLS

Languages:

Tools:

Data Engineering:

Cloud:

Front End:

Libraries:

Database:

Python, R, C++, .Net, SQL, Scala, PHP, Java, SAS

Power BI, Tableau, Microsoft Excel, QGIS, ArcGIS, SAP, Talend, Looker, Alteryx, Confluence Hive, HDFS, Spark, Apache kafka, Lambda, Sagemaker, Kinesis, Hadoop, Databricks, Snowflake, Airflow AWS, Athena, Microsoft Azure, S3, BigQuery, GCP, Docker, Kubernetes, Datalake, Redshift HTML5, CSS, JavaScript, Node.js, Angular, React.js, Jquery NumPy, pandas, scikit-learn, OpenCV, Matplotlib, Keras, TensorFlow, Pytorch, NIST, ISO, COBIT, ITIL MySQL, Oracle, Vector, MongoDB, Apricot, NoSQL, MS SQL Server, PostgreSQL PROFESSIONAL EXPERIENCE

London ESG Analytics, Boston, MA June 2024 - Aug 2024 Data Engineer Intern

• Developed and implemented data analytics solutions to support ESG strategies, ensuring accurate tracking and reporting of ESG metrics. Designed robust data infrastructure to collect, store, and process ESG-related data from multiple sources.

• Created dashboards to visualize ESG metrics and key performance indicators using Tableau, and Power BI. Designed and built Alteryx workflows to streamline data preparation processes and improve data flow efficiency across ESG datasets.

• Partnered with cross-functional teams to transform ESG models and used ArcGIS to visualize and analyze ESG data on maps, helping to understand the geographical distribution of factors like carbon emissions and social impact across regions. TATA Consultancy Services, Mumbai, India July 2020 - Aug 2023 Data Analyst

• Conducted exploratory analysis to identify trends and patterns within the healthcare sector. Deployed statistical analysis and machine learning algorithms for predictive modeling, contributing to a 15% increase in data accuracy.

• Spearheaded the cleaning, designing, building, and maintaining of ETL pipelines, demonstrating expertise in data mining to enhance operational efficiency. Reduced manual data reporting time by 30% and supported scheduled, and ad hoc analysis.

• Managed datasets with SQL, Python, and Microsoft Excel, using techniques like VBA, array functions and Pivot tables. Developed and maintained business analytics dashboards in Tableau and Power BI for visualizing trends and KPIs to support decision-making.

• Collaborated with data engineers and cross-functional teams to define data warehouse requirements and architect data models on AWS and GCP. Utilized advanced cloud architectural principles to support data management and analytics initiatives.

• Worked with tools such as Snowflake and Databricks to enhance data processing capabilities. Mentored a team of analysts, assisted in ideation and requirements gathering, and shared data-driven insights with clients

• Promoted to Data Analyst in 2022 after serving as a Junior Analyst. Generated month-end strategic reports that influenced a 20% increase in overall growth, demonstrating the tangible benefits of advanced analytics and data-driven decision making. PROJECTS

Time Series Analysis of Cryptocurrency

• Constructed a LSTM model for making predictions on a time series dataset comprising over 100,000 samples and 10 features. The predictive model demonstrated exceptional performance, achieving a prediction accuracy of 96%.

• Designed machine learning system predicting cryptocurrency prices for Bitcoin, Ethereum, and Dogecoin, allowing user access to forecasts and enabling administrators to monitor user interactions, utilizing Auto TS library in Python for time series analysis and exploratory Data Analysis for trend discovery and pattern identification. Global Trade Analysis

• Created 20+ innovative Tableau dashboards tailored to analyze global trade and logistics data, focusing on commodities, countries, years, trade amounts, and quantities.

• Conducted data cleaning and preprocessing of a 59,090-observation dataset using R to ensure high data quality, and leveraged Tableau's interactive features to create insightful visualizations supporting decision-making. Malaria detection and Analysis

• Created a system for detecting malaria parasites in blood images, achieving an accuracy rate exceeding 99%. Utilized image processing techniques and various machine learning such as KNN, K-means, etc., with the SVM model reaching 99.8% accuracy.

• Published a research paper titled “Detection of Malarial Parasites using Image processing with Machine learning and deep learning” in International Journal for Scientific Research and Development. (IJSRD/Vol. 10/Issue6/2022/034).

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