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Nithish .

Nithish .

  • Shift Team Lead - Data Analyst
  • **** **** ****
  • 4 yrs Experience
  • ASAP
  • Mid-Level

Identifying myself as the first-generation Engineer. I understand the pain, Failure and Financial hurdles that happen in every step of life, breaking the chain of poverty take great pride in persistence, endurance, diligence, and empathy. My broken Life were not enough to stop me, rather, I approached my next "experiment" with lessons from the failed ones to ensure success. I would attribute my greatest wins to my extremely inquisitive nature which enables me to understand finding patterns and connecting dots be it ideas from different industries, people from different backgrounds and teams, or applications from different industries. What exists and opportunities to reinvent and recreate. Currently, I am working as a Data Analyst, I am responsible for analyzing and helping to coordinate the implementation of various projects within my client’s organization as well as ensuring that all project requirements are being met. My job is to sift through the masses of information and decide which data will be relevant for analysis. It can be difficult to boil down a career spent looking at numbers, but here are a few sentences that show the skills I possess: • I’m good at taking raw data and making it understandable. • I have excellent analytical and presentation skills. • I know when to use the right metric to get my point across. • I’m particularly good at organizing a data set and presenting it in a visually pleasing way. • I’d be happy to tell you my areas of expertise. • I have a

Education

C

Computer Engineering

Adiyaman College of Engineering, Bachelor's Degree
2020

Work & Experience

N

Shift Team Lead - Data Analyst

NielsenIQ
Feb'2022 - Jan'2023
I lead team of Data Analyst, Handling More Than 35+ international Client with great Track Record on Time and On-Quality Deliveries. We work with product and business teams alike to create value from data. We - - help improve the FMCG product Sales for the partner and the shopper - identify and seize problems and quantify impact of Data solutions - provide insights and recommendations to improve the Sales and Production of FMCG Product using Inhouse algorithm We do so by most commonly performing A/B testing, Causal Analysis, Predictive modeling and using effective Data storytelling to drive impact.Skills: Predictive Modeling · Machine Learning · Deep Learning · Data Mining · Statistical Modeling · Data Analytics · Office 365 · Data Visualization · Project Management · Team Leadership
N

Data Analyst

NielsenIQ
Nov'2021 - Feb'2022
• Conducted market research and analysis to identify trends and opportunities in the retail and consumer goods markets, utilizing quantitative data sources such as sales data, market share data and consumer survey data. As a result, helped a major FMCG company to identify new market segments for their product and increase their sales by 15% within 6 months. • Developed a sales forecasting model in snowflake that improved the accuracy of sales predictions by 25%, enabling clients to make more informed decisions and optimize inventory management. • Led a team of junior data analysts on a project that analyzed consumer purchase data to identify KPI drivers of brand loyalty, resulting in a 10% increase in repeat purchases for a major retail client. • Developed and delivered data-driven presentations and reports to internal and external stakeholders, effectively communicating complex findings and recommendations in a clear and concise manner, resulting in a 90% client satisfaction rate. • Utilized SQL, Python, R and other tools to perform data cleaning, data analysis, and data visualization tools. • Led projects and mentored junior team members in data analysis best practices and tools. • Consistently met and exceeded client expectations, resulting in strong client relationships and repeat business.
G

Network Support Engineer

Gee Vee Fab
May'2019 - Oct'2021
• Developed and implemented disaster recovery plans that ensured 100% business continuity in the event of a catastrophic event. This is likely the most important accomplishment, as it ensures the long-term viability of the business in the face of unexpected events. • Reduced network downtime by 30% by designing and implementing a new business network that increased system stability and performance. This accomplishment is also highly important, as it directly impacts the business's ability to operate efficiently and effectively. • Achieved a 95% client satisfaction rate by providing timely and effective technical support and consultancy services. Keeping clients satisfied is essential for maintaining a positive reputation and securing future business opportunities. • Increased network security by 40% by implementing new security protocols and training programs for employees. Network security is a critical concern in the modern business environment, and this accomplishment likely contributed significantly to the overall safety and security of the network. • Reduced project timelines by 25% by implementing agile project managemen t methodologies and ensuring optimal use of technical resources. Efficiency is an important factor in project management, and this accomplishment likely helped the business save time and money while delivering high-quality results.

Professional Skills

General
  • Hadoop 2 year(s)
  • Deep Learning 2 year(s)
  • ETL 2 year(s)
  • Data Science 2 year(s)
  • Hive 2 year(s)
  • Pyspark 2 year(s)
  • Data Analysis 4 year(s)
Database
  • NoSQL 2 year(s)
  • MySQL 2 year(s)
  • PostgreSQL 2 year(s)
  • SQL 3 year(s)
Technology
  • Git 2 year(s)
Testing
  • Cucumber 2 year(s)
Language
  • Python 3 year(s)

Languages

  • English good
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