About me
Portfolio on Tableau public — https://public.tableau.com/profile/christosnikolis#!/
Work history
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Data Analyst / Developer Trainee — Python, Tableau, SQL, JavaScript D3 • FOH Sales & Customer CareStudying at: DataCamp | Codecademy | SoloLearn | Grasshopper • Working at: Mitchells & Butlers PLC
London, United KingdomFull Time
Having a thirst for knowledge and passion for data, I was keen to work towards a career change.
•► My exciting learning journey was focused on Data Analysis with Python & SQL; as well as Data Visualization with Tableau – critical problem-solving skills, and compatible with my Financial Data Analysis background.
•► To that end, I transferred to a part-time role in Hospitality, reduced my working hours, and dedicated more time to my studies.
•► Having created a new portfolio (links above) and acquired 25+ MOOC Certificates since May 2020, I am now seeking to secure a relevant position – and add value in a data-driven environment.
•► “Data Scientist with Python track”: https://www.linkedin.com/feed/update/urn:li:activity:6719790548946849793/
•► “Exasol Database Certified Associate”: https://www.linkedin.com/feed/update/urn:li:activity:6676061502635552768/
•► “JavaScript“, “Node.js” & “D3.js”: https://www.linkedin.com/feed/update/urn:li:activity:6760178358207700992/
•► Apart from financially supporting my studies, my day role allows me to continue gaining knowledge in an industry relative to my previous (FMCG: Food/Beverages) – as well as apply practical ideas on process improvement, and serve my customers and team with a smile.
Key Accomplishments (Day Role) :
•► Bookwormed our 10 mandatory e-modules in 2 months and 1 week, which was congratulated via email by HR.
•► Led our Jan-Feb 2020 promotional Sales, with a 4x score:
Total Team Sales : £1500,
Personal Sales : £580,
Team of 12.
Sales score confirmation available upon request — Please also check my General Manager’s input, in the Recommendations Section below.
(Additional written recommendations are available for all my previous roles.)
https://uk.linkedin.com/in/christosnikolis
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Factory (Operations) Accounts AnalystBakkavor
- London, United KingdomFull Time
• In this role, I was reporting our factory’s Daily Labour Efficiency and Weekly Material Variances, directly to the Lead Management Accountant - also (among others) to the Head of Finance and the General Manager.
(i) Daily Labour Efficiency:
- I was auditing our Finished Goods production data, as scanned by Operations.
(by reconciling orders, wastage, shortages - and computer stock VS. the planned closing stock)
- I was then announcing the correct Volumes of the previous day’s Finished Goods Production.
- I was also performing the analysis of the difference between standard VS. actual hours, as related to the categories of goods.
(ii) Mid-week and Final Material Variances reports:
- I was accounting for all the variances (Raw Materials, Lab samples, Packaging, Consumables, etc.) in our production process.
- I was forecasting the Weekly Variances and writing the commentary on the main drivers of our Rejections (Raw Mats., Work-in-Progress, FG) and Unexplained.
My close collaboration with the Planners & Procurement, Goods-in and the Operations Dpt, was key for the investigation of variances not in line with the trend.
•• By accurately setting up the recipes/costs of our main site’s products in the Bill of Materials (BOM), I ensured the minimization of system-related variances.
••• I had been trusted with the update & improvement of various MS Excel trackers - which practically made an impact in the Senior team’s decision-making.
► Top achievements:
1)
Praised by the Head of Finance as a “Mammoth undertaking”, our team managed to setup materials/costs for 121 product recipes in 16 weeks; 279% as efficient, if compared to the previous record held of 141/year.
This was a project for TESCO.
2)
By compiling all my notes, I created several handbooks (screenshot-illustrated), documenting the SOPs (Standard Operating Procedures) of my role, in detail.
The above manuals met great success, as they significantly supported my new colleagues during training.
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Skills
- Data Visualisation
- Data Analysis
- Python
- Programming Python
- Basic Javascript
- Javascript
- Guitar
- Data Science
- Advanced Excel
- Microsoft Excel
- Tableau