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Email: EMAIL AVAILABLE Contact: PHONE NUMBER AVAILABLELinkedin https://LINKEDIN LINK AVAILABLE Github https://github.com/saikrishnachikoti Experience AV Safety Data Analyst at Retrospect Technology LLC 05/2024 - PresentCreated detailed Power BI reports and dashboards to clearly present complex data, customised to meet client needs.Built strong data models for flexible and scalable reporting.Connected, imported, and transformed data for business intelligence purposes And maintain Database from Microsoft Access to Server.Workedwithstakeholderstobridgethegapbetweentechnicalandnon-technical business aspects.Resolveddata-related issues and maintained the Power BI infrastructure to keep it up-to-date and running smoothly.Collaboratedwith product teams, conducted business data analysis, managed projects, developed strategies, and handled administrative tasks for Power Automate and SharePoint. HRST Analyst, Enabling Areas at Deloitte. 07/2020 - 08/2022Applied machine learning and neural networks to analyse pay scale data, spotting key trends. These insights drove compensation changes that boosted company profits by 10%.Used SQL and Excel to dig into large datasets, speeding up data extraction and reporting. This streamlined decision-making and improved accuracy.Partneredwithvariousteamstorefinedataprocesses,making HR operations more efficient and streamlined.Created ad-hoc reports, dashboards, and RFPs using PowerBI and Tableau, helping the company make better decisions based on clear data visualisations.ExpertinusingSQLandExcelfordataanalysisandmanagement,ensuring effective and timely reporting.Automated repetitive data tasks and reporting processes using scripts and tools, freeing up significant time and resources for higher-value analytical work.Technical Skills Programming Languages : Python, R,Structured Query language. Machine Learning: Supervised/Unsupervised Learning, Classification, Regression, Clustering, NLP Deep Learning: Neural Networks, CNN, RNN, Transfer Learning. Cloud: Microsoft Azure, AWS Data Analysis and Visualization: Microsoft Power BI, Pandas, NumPy, SciPy,Seaborn,Preprocessing. Tools: Jupyter Notebook, PyCharm, Git, GitLab, Apache Hadoop and Airflow, Alteryx, PySpark, SQL Other skills: MySql, Wrangling,Transformation,Evaluation,Validation,Statistical Analysis, Hypothesis Testing Microsoft Excel: Data Extraction, MIS Reporting, DAX, Microsoft suite Domain Knowledge: HR, Marketing, Finance and Ed-Tech Education Masters In Data Science, 08/2022 -04/2024University of Michigan - Dearborn Dearborn,United States of America Bachelor of Engineering- Mechanical Engineering. 07/2016 - 04/2020 Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology Hyderabad,India Certifications Master Python With NumPy for Data Science & Machine learning by Pruthviraj L. SQL Masterclass for Data Analytics by Start-Tech Academy. Generative AI with large language models from coursera. Data warehousing - SnowflakeProjects Data Analysis for Marketing for Banks: Led the development and execution of sophisticated machine learning models for bank marketing, enhancing campaign efficiency by 40%.Utilised regression,hypothesis testing,cross-validation, and decision trees, achieving a 30% boost in target audience precision and a 25% rise in conversion rates, yielding key insights for strategic marketing initiatives. Vegetable Recognition using CNN: Developed a vegetable image classification model using CNNs, achieving a 95% accuracy rate by processing over 10,000 images across 50 vegetable types, significantly enhancing the adaptability to new data and scenarios.The Stock Prediction: Pioneered a Stock Prediction model using Time Series Regression Analysis, LSTM, and XG Boost, improving prediction accuracy by 40% and aiding in risk management by analysing 10 years of stock data. Employee performance: Led an Employee Performance Analysis project using Power BI, visualising data from 500+ employees to enhance decision-making using DAX and building Dashboards, resulting in a 25% increase in overall employee satisfaction and a 15% improvement in performance metrics. Database Management, Deloitte: Proficiently managed a database of 60,000+ employees at Deloitte, executing over 500 complex SAP HANA queries per month, leading to a 20% improvement in data organisation efficiency and data-driven decision-making by using Microsoft Advanced Excel and SQL queries. Extra-curricular Activities Led "Ecficio" at VNR VJIET, a key Entrepreneurial Fest with 500+ attendees, exhibiting elite leadership and event planning. Influential in "Mechzeal" and "Scintillations," leading to an increase in problem-solving efficiency, underlining strong teamwork and innovative collaboration.Received Spot Award and reward in Deloitte. for creative and collaborative solving skills.