Shyamkrishna M

Detail-oriented and analytically-driven data analyst with expertise in communication, data analysis, and modeling techniques. Proficient in utilizing Python and MySQL for data manipulation and analysis, with experience in Jupyter Notebooks and machine learning algorithms. Skilled in web scraping and proficient in data visualization tools such as Power BI and Tableau, as well as Microsoft Excel and PowerPoint for comprehensive data presentations. Adept at conducting industry research, identifying risks, and providing strategic advice through strategic reasoning. Possess strong time management skills and the ability to excel in investor relations. Seeking to leverage these skills and capabilities to contribute effectively as a data analyst in a dynamic professional environment.

• Accenture North America Data Analytics and Visualization Job Simulation on Forage, March 2024: I completed a simulation focused on advising a hypothetical social media client as a data analyst at Accenture on 03/01/24. The ability obtained from this program is Experienced in communication and proficient in data analysis, modeling, and visualization techniques for comprehensive data understanding. Skilled in crafting engaging presentations and delivering compelling public speeches, utilizing storytelling to convey complex ideas effectively. Proficient in strategic planning and fostering teamwork dynamics for successful project execution.
• BCG Climate & Sustainability Job Simulation on Forage In February 2024, I completed a carbon emissions analysis simulation for the Sustainability Team, using Excel to calculate baselines and comparing data from the CDP database for accuracy. Analyzed and recommended carbon reduction initiatives for Fast Cars to achieve Net Zero, considering effective Scope 3 strategies. Crafted clear emails and a presentation to communicate findings and recommendations to the client. Adapted messaging strategies to address investor concerns, aligning with Fast Cars' sustainability goals. 02/01/24. The ability obtained from this program is Proficient in a diverse array of skills encompassing communication, data analysis, and interpretation, with a demonstrated ability to make informed decisions. Skilled in emissions categorization, industry research, and investor relations, she is adept at presenting ideas effectively. Experienced in conducting thorough research, identifying risks, and providing strategic advice through reasoned analysis

https://github.com/Skrishna4548

MACHINE FALIURE PREDICTION: Implemented a predictive analytics project aimed at forecasting machine failure based on user inputs., Data Collection: Model Development: Data Preprocessing: Model Evaluation: Techniques including: Logistic Regression,Naive Bayes,SVC, Stakeholders can utilize the insights provided by this study to optimize maintenance schedules and minimize downtimes. 

GOOGLE SEARCH ANALYSIS : Google Trends provides an API called pytrends for analyzing daily searches. Install pytrends using pip: install pytrends. Analyzing Google search trends on 'machine learning'. Create a data frame of the top 10 countries searching for 'machine learning' on Google 

NETFLIX ANALYSIS : understand what content is available, understand the similarities between the content understand the network between actors and directors what exactly Netflix is focusing on and what sentiment analysis of content available on Netflix Data Analysis 

E-Commerce Recommendation Engine : SQL for data analysis, user segmentation, and recommendation generation to enhance user experience and drive sales. Analyzed user interactions, product data, and past purchases to identify trends and patterns. Segmented users based on behavior and preferences for personalized recommendations. Optimized performance to enhance user engagement and increase conversion rates. Developed a relational database schema and utilized SQL queries for data analysis. Implemented user segmentation techniques and recommendation algorithms using SQL joins, subqueries, and aggregation functions.