Aniket Singh
Data Scientist @Velocis Systems Private Limited
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WORK HISTORY
Data Scientist @Velocis Systems Private Limited
New Delhi, IN
Text Summarization and Crime Location Extraction – Lead Engineer • Aim – Generate hotspot from the crime location extracted from the FIRs collected. • Tools & Techniques- Python, Exploratory Data Analysis, Python, Natural Language Processing (NLP), NLTK, Gensim, Spacy, Large Language Models. • Outcome - Build an augmented Large Language model system while fine tuning the Bart model for summarization and employing QA model to extract the crime location. Currently researching on the evalua on metrics to measure the performance of the system. • Development of service tools for image processing • Developed and implemented an identify extraction system using BERT to accurately identify victims and accused persons in text data, leveraging LLM models for advanced natural language processing tasks. • Development of cross-platform image processing solutions for automa c test systems • Knowledge of image processing algorithms: encoding / decoding, feature detection on and matching, image segmentation and transformation
ABOUT ANIKET SINGH
Organizations count on data analysts to help them make profitable business decisions based on data. A data analyst is an umbrella term and it can also include Business Analyst, Corporate Strategy Analyst, Marketing Analyst, Sales Analyst, Finance Analyst, Management Reporting, Business Product Analyst, Social Media Data Analyst, Budget Analyst, and much more.Your real value to a company as a data analyst is being able to take a business problem or wanted outcome and figure out how to find the answer to the problem for which you will need the gold mine i.e. “Data”. Whenever you join a new company as a data analyst, the first thing your manager would ask you to do is figure out how to extract the data. You’ll have multiple ways to extract data it could be either through writing some SQL queries or programming with Python. Having done the data extraction, you would be expected to manipulate and visualize the data based on your previous experience and working knowledge of data visualization tools. Some companies have in-house data visualization tools that one might be required to learn. The next most important thing that you will have to do is analyze the data by going over the visualizations you’ve created and pinpoint if there are any data anomalies. The last step is creating reports wherein every organization has its own template for reporting and you’ll have to match up with their standard of reporting.Once you match up with the standard of reporting, fit into the team and culture as a data analyst you will have to spend more time with data and identify any overlooked minute details missed out during the creation of reports. As a data analyst, your goal should always be to produce meaningful business insights and not noise. While the data analyst responsibilities will vary based on the specific position and the organization, however, there are some general data analyst day-to-day responsibilities that will cover almost every kind of data analyst job role. Collect data from diverse sources and maintain them.Build and deploy data collection systems.Identify and analyze trends and patterns in complex datasets using various statistical techniques.Analyze the outcomes to produce valuable insights.Monitor the quality of dataIdentify, evaluate and make use of novel tools for data validation and cleansing.Define novel data collection strategies as per business needs.Develop reports, data dashboards, and visualizations based on the analysis.
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