Aptus Data Labs
V Adiseshu Naik is a Senior Data Scientist at Aptus Data Labs, with extensive experience in cash flow prediction, report scoring using NLP, and identifying bad indicators of loans. Key achievements include developing a pipeline using AWS Textract for cash flow analysis, applying advanced NLP techniques for scoring investigation reports, and building predictive models for loan defaults. Previously, V Adiseshu Naik served as a Data Scientist at NTPC Limited, focusing on peak demand forecasting and machine anomalies detection, while also optimizing inventory management using data wrangling and NLP algorithms. An earlier role as a Programming Analyst at the Royal Bank of Scotland involved trade compliance and anti-money laundering activities. Educational qualifications include a PGDBA in Business Analytics from prestigious institutions and an MBA in Human Resources Management. V Adiseshu Naik also founded the Rotaract club youth at IIITM, leading community health initiatives and literacy programs.
Aptus Data Labs
Aptus Data Labs (“Aptusdatalabs Technologies Private Limited - CIN:U72900KA2014PTC077646”) is an innovative Data Science and Advanced Analytics Company offering analytical solutions and consulting services that help businesses make quick, cogent, data-driven decisions, essentially required to sustain and grow in tandem with evolving industry trends. We help enterprises look beyond business data and gain industry-leading insights to assure them about Big Business Decisions. We leverage upon primary data, data management technologies, Data Science and Decision Science, and combine them with apt catalysts like domain-specific Key Performance Indicators (KPIs), mathematical algorithms and “Aptus Accelerators" to identify risks and key business opportunities with better forecasts. Empowered with a strong engineering & technology work culture, Aptus Data Labs encompasses a mission-focused team of data analysts, data scientists, business SMEs, architects and engineers, who cater to a wide range of clientele across various industry domains such as Healthcare & Life Sciences, Retail & Consumer Industries, Manufacturing, Energy & Utilities and Social Intelligence. Our team of talented go-getters, who truly understand the technology and business in the analytics space, are capable of handling all types of enterprise dataset to extrapolate key business values using descriptive, predictive and prescriptive capabilities.