Animesh T.

Business Development Executive

Noida, Uttar Pradesh, India5 yrs 4 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

5 years of experience in decision intelligence.
Expertise in SQL, Tableau, and Power BI.
Strong background in risk-aware analytics.

Stackforce AI infers this person is a Business Intelligence Analyst with expertise in SaaS and Cloud Computing.

Contact

animesh2897@gmail.com LinkedIn

Skills

Core Skills

Business Intelligence (bi)SqlAws GlueData AnalyticsAgile MethodologiesMachine LearningAi/ml

Other Skills

Business AnalyticsTableauPower BIAnalytical SkillsData MigrationData ProcessingOracle DatabaseConvolutional Neural Networks (CNN)Artificial Neural NetworksDeep LearningDatabricksAmazon Web Services (AWS)PySparkAmazon RedshiftIRIS

About

𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 with ~𝟱 𝘆𝗲𝗮𝗿𝘀 of experience delivering 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 through 𝗦𝗤𝗟, 𝗧𝗮𝗯𝗹𝗲𝗮𝘂, 𝗮𝗻𝗱 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 in cross-functional environments. Strong in 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴, 𝗱𝗮𝘁𝗮 𝘀𝘁𝗼𝗿𝘆𝘁𝗲𝗹𝗹𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲, while building 𝗿𝗶𝘀𝗸-𝗮𝘄𝗮𝗿𝗲 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝘃𝗶𝗮 𝗔𝗽𝗽𝗦𝗲𝗰 & 𝗗𝗲𝘃𝗦𝗲𝗰𝗢𝗽𝘀 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀.

Experience

5 yrs 4 mos

Total Experience

2 yrs 8 mos

Average Tenure

4 yrs 11 mos

Current Experience

Tata consultancy services

3 roles

Business Intelligence Analyst (Digital Cadre)

Promoted

Jul 2023 – Present · 2 yrs 10 mos

Delivered 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 through interactive 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 𝗮𝗻𝗱 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀, enabling leadership and business stakeholders to track KPIs, performance trends, and operational outcomes.
Designed and optimized 𝗦𝗤𝗟-𝗯𝗮𝘀𝗲𝗱 𝗱𝗮𝘁𝗮 𝗺𝗼𝗱𝗲𝗹𝘀 𝗮𝗻𝗱 𝗾𝘂𝗲𝗿𝗶𝗲𝘀 across multiple data sources to improve 𝗿𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆, 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆, 𝗮𝗻𝗱 𝘁𝗶𝗺𝗲-𝘁𝗼-𝗶𝗻𝘀𝗶𝗴𝗵𝘁.
Partnered with cross-functional teams (business, product, engineering) to translate 𝗮𝗺𝗯𝗶𝗴𝘂𝗼𝘂𝘀 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀 𝗶𝗻𝘁𝗼 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀, following a 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴-𝘀𝘁𝘆𝗹𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺-𝘀𝗼𝗹𝘃𝗶𝗻𝗴 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵.
Supported 𝗱𝗮𝘁𝗮 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗶𝗻𝗶𝘁𝗶𝗮𝘁𝗶𝘃𝗲𝘀 by defining metrics, validation checks, and documentation standards to ensure 𝘁𝗿𝘂𝘀𝘁𝘄𝗼𝗿𝘁𝗵𝘆 𝗮𝗻𝗱 𝗮𝘂𝗱𝗶𝘁𝗮𝗯𝗹𝗲 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀.
Conducted 𝗮𝗱-𝗵𝗼𝗰 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗮𝗻𝗱 𝗿𝗼𝗼𝘁-𝗰𝗮𝘂𝘀𝗲 𝗶𝗻𝘃𝗲𝘀𝘁𝗶𝗴𝗮𝘁𝗶𝗼𝗻𝘀 to answer strategic business questions, identify risks, and recommend data-backed actions.
Improved dashboard adoption and stakeholder confidence through 𝗰𝗹𝗲𝗮𝗿 𝗱𝗮𝘁𝗮 𝘀𝘁𝗼𝗿𝘆𝘁𝗲𝗹𝗹𝗶𝗻𝗴, executive-ready visualizations, and contextual insights.
Began integrating 𝗿𝗶𝘀𝗸 𝗮𝗻𝗱 𝘀𝘆𝘀𝘁𝗲𝗺-𝗮𝘄𝗮𝗿𝗲𝗻𝗲𝘀𝘀 𝗰𝗼𝗻𝗰𝗲𝗽𝘁𝘀 into analytics work by exploring 𝘀𝗲𝗰𝘂𝗿𝗲 𝗱𝗮𝘁𝗮 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀, 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝗶𝗲𝘀, 𝗮𝗻𝗱 𝗗𝗲𝘃𝗦𝗲𝗰𝗢𝗽𝘀 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀.

Business Intelligence (BI)Business AnalyticsTableauPower BISQL

System Engineer

May 2023 – Jul 2023 · 2 mos

Analyzed 𝗱𝗮𝘁𝗮 𝗺𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗼𝗺𝗮𝗹𝗶𝗲𝘀 and implemented solutions across 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀, improving 𝗱𝗮𝘁𝗮 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆 𝗮𝗻𝗱 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆.
Documented requirements and contributed to 𝗺𝗼𝗱𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗿𝗲𝗰𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁𝘀, collaborating with 𝗰𝗿𝗼𝘀𝘀-𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝘁𝗲𝗮𝗺𝘀 for smooth delivery.
Hands-on experience with 𝗔𝗪𝗦 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗶𝗻𝗴 𝗥𝗲𝗱𝗦𝗵𝗶𝗳𝘁 𝗮𝗻𝗱 𝗚𝗹𝘂𝗲, performing 𝗘𝗧𝗟, 𝗱𝗮𝘁𝗮 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 on large enterprise datasets.
Developed foundational expertise in 𝗰𝗹𝗼𝘂𝗱-𝗯𝗮𝘀𝗲𝗱 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, 𝗱𝗮𝘁𝗮 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲, 𝗮𝗻𝗱 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, enabling 𝗿𝗶𝘀𝗸-𝗮𝘄𝗮𝗿𝗲, 𝗱𝗮𝘁𝗮-𝗱𝗿𝗶𝘃𝗲𝗻 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀.

Analytical SkillsAWS GlueData MigrationData Analytics

System Support Engineer

Apr 2021 – May 2023 · 2 yrs 1 mo

Supported 𝗰𝗼𝗻𝘀𝘂𝗺𝗲𝗿-𝗳𝗮𝗰𝗶𝗻𝗴 𝗿𝗲𝘁𝗮𝗶𝗹 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 as part of the 𝗝𝗮𝘃𝗮 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝘁𝗲𝗮𝗺, ensuring high availability and system reliability.
Actioned 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝘆 𝗷𝗼𝗯 𝗶𝗻𝗰𝗶𝗱𝗲𝗻𝘁𝘀 and resolved system failures within strict SLAs, achieving ~𝟵𝟬%+ 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝘀𝗮𝘁𝗶𝘀𝗳𝗮𝗰𝘁𝗶𝗼𝗻 𝘀𝗰𝗼𝗿𝗲 (𝗖𝗦𝗦).
Drafted and executed 𝗦𝗤𝗟 𝗾𝘂𝗲𝗿𝗶𝗲𝘀 𝗳𝗼𝗿 𝗩𝗲𝗿𝘆 𝗟𝗮𝗿𝗴𝗲 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 (𝗩𝗟𝗗𝗕𝘀), improving 𝗱𝗮𝘁𝗮 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗯𝘆 >𝟮𝟱%.
Collaborated with cross-functional teams to 𝗮𝗻𝗮𝗹𝘆𝘇𝗲 𝗶𝘀𝘀𝘂𝗲𝘀, 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀, 𝗮𝗻𝗱 𝗲𝗻𝘀𝘂𝗿𝗲 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗶𝘁𝘆, strengthening enterprise problem-solving skills.

Agile MethodologiesOracle DatabaseSQL

Magic finserv

AI/ML Trainee

Jan 2020 – Jun 2020 · 5 mos · Noida Area, India

Researched and drafted 𝗠𝗟 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 for client-specific workflows, enhancing 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆.
Developed 𝗔𝗜/𝗠𝗟 𝗺𝗼𝗱𝗲𝗹𝘀 for 𝗢𝗖𝗥 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, saving ~𝟱𝟬% 𝗼𝗳 𝗺𝗮𝗻𝘂𝗮𝗹 𝗲𝗳𝗳𝗼𝗿𝘁 on repetitive tasks.
Explored 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀, 𝗖𝗡𝗡𝘀, 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, gaining practical experience in 𝗮𝗽𝗽𝗹𝗶𝗲𝗱 𝗔𝗜 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀.
Built prototypes that translated 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗶𝗻𝘁𝗼 𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, bridging 𝗱𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀.

Convolutional Neural Networks (CNN)Artificial Neural NetworksMachine LearningAI/ML