About Shashank
Results-driven Data Analyst with a proven track record of utilizing data-driven insights to drive business growth and streamline processes across multiple industries. Proficient in Python, SQL, MS Excel, and Tableau, with a strong foundation in data manipulation, visualization, and analysis. Adept at collaborating with cross-functional teams and presenting data-driven solutions to stakeholders. Skilled in identifying patterns and trends in complex datasets, enabling informed decision-making and strategic planning. Committed to maintaining data accuracy and ensuring compliance with industry regulations.
Hindi
Native or bilingual
English
Native or bilingual
Can work on-site
London (up to 50km)
Experience
- Cognizant TechnologyData AnalystDIGITAL AND ITMay 2020 - September 2021 (1 year and 4 months)Hyderabad, Telangana, IndiaKEY ACHIEVEMENTS•Effectively utilized SQL for data transformation and analysis within ETL process, leveraging tools such as SSIS, leading to a 15% improvement in data accuracy•Closely collaborated with clients and senior stakeholders to develop dynamic, interactive Tableau dashboards, providing key insights and actionable recommendations which led to a 20% increase in client satisfaction in Australia•Designed, developed, and implemented automated tools to migrate clients' databases from traditional relational databases to cloud databases such as Azure, AWS, and BigQuery, using Java within ETL pipelines▪Leveraged APIs to streamline data across platforms, enhancing collaboration between 15 multinational team members working on cross-functional projects▪Utilized Scrum methodologies and collaborated with stakeholders, designers, and testers, to diagnose areas for improvement by root cause analysis▪Supported workflow and process change / re-design, and formed a basic understanding of the specific product or process▪Utilized Scala, Hadoop, Spark, and Big Data in an Agile environment for optimized data storage▪Generated multi-faceted reports across large datasets, such as curated COVID-19 reports from WHO data segregated by regions
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Education
- BSc of Electronics & Communication EngineeringVIT UniversityBSc of Electronics & Communication Engineering
- MSc Business AnalyticsUniversity of Bath2022My Modules consisted: Modules: Database & Business Intelligence, Spreadsheet Modelling, Data mining, Machine Learning, Business Statistics & Forecasting, Project Management, IBM Cognos. Notable projects: NOTABLE PROJECT (F&B) • Collaborated on a team to develop a business case predicting customer buying behaviour, leveraging financial data from restaurants across Birmingham, London, and Cambridge using SQL •Employed strong communication and interpersonal skills to present data visualisation reports and dashboards to stakeholders, utilising Tableau to transform complex statistical concepts into actionable insights and informed decision-making NOTABLE PROJECT (HEALTHCARE) • Enhanced the medical prognosis of UK patients focused on coronary diseases by utilising Logistic Regression and feature selection to retrieve accurate results using Advanced MS Excel • Improved NHS patient care, optimised hospital operations, and reduced healthcare costs by using Arena business process simulation NOTABLE PROJECT (FAKE NEWS DETECTION) Employed Natural Language Processing and Machine Learning techniques (Pandas, NumPy, SciPy, NLTK) to extract, clean, and integrate unstructured data from diverse online sources (social media, search engines, news agency websites) and generated relevant features using Python Designated linear regression after training and testing machine learning algorithms and subsequently optimised the use of NLP to verify the authenticity of a given news article
Certifications
- British Airways Data Science Virtual Experience ProgrammeForage2023