Himanshu Mayank
Data Designer (Data Analytics Services) @CN
Signup · Get unlimited contacts
WORK HISTORY
Data Designer (Data Analytics Services) @CN
Toronto, ON, CA
Facilitating seamless communication and collaboration between the data engineering and BI reporting teams.• Actively bridging the gap between technical data requirements and reporting objectives.• Orchestrating the integration of data design strategies to optimize reporting and analysis processes.• Ensuring coherence and alignment between data schemas and business reporting needs.• Streamlining workflows and fostering synergy to enhance data-driven decision-making across departments.• Currently engaged in an operations compliance project, tasked with the meticulous design of tables using Erwin for seamless data ingestion into a Data Lakehouse environment hosted on Databricks from Kafka topics, contributing to the organization\'s transition towards enhanced cloud agnosticism.
EDUCATION
SRM IST Chennai
Bachelor of Technology, Computer Science
McGill University - Desautels Faculty of Management
Master of Management in Analytics, Business Analytics, Data Science
ABOUT HIMANSHU MAYANK
I am a Master of Management in Analytics graduate from McGill University - Desautels Faculty of Management. My professional expertise centers around the intersection of technology and business, with a demonstrated ability to effectively apply analytics to address critical business challenges while conscientiously considering the ethical and privacy implications of AI implementation. Possessing an in-depth comprehension of both technical and functional requirements, I am adept at delivering impactful solutions that yield tangible business outcomes.Currently I am working at Canadian National Railway as a Data Modeler - where I work with Data Engineers, Business Intelligence team, Data governance team and Data Scientists to design schemas for various data initiatives. Most of my work currently focuses around Operations Analytics.As a data professional, my primary strengths lie in data engineering and data science. I excel in designing data pipelines that seamlessly integrate with the data science phase to facilitate efficient predictive modeling tasks. My track record showcases my proficiency in harnessing AI and other automated methodologies to aid organizations in structuring their data for optimal analytics utilization. Furthermore, I possess valuable experience working with various types of databases, including relational databases and graph databases.My academic and professional background equips me with a robust skill set to tackle complex analytical challenges and drive meaningful value for organizations. I am committed to continuous growth and leveraging my expertise to contribute significantly to the field of analytics and business technology.[Languages]: Python, R, C++, Java[Visualisation]: PowerBI, MatplotliB, Seaborn, ggplot2[Python Tools]: Pandas, NumPy, SciPy, OpenCV, Scikit-learn,NLTK, Gensim,Spacy,Tensorflow, Keras,Gurobi, Statsmodels, Selenium, BeautifulSoup[R Tools]: dplyr, tidyr, ggplot2,caret,randomForest,xgboost,glmnet,rpart Github : https://github.com/hm6650
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.